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• 1. Introduction
• 2. Relational knowledge
• 3. From data to hypotheses
• 4. Clustering
• 5. Information gain
• 6. Knowledge and relations
• 7. Rough set theory
• 8. Inductive logic learning
• 9. Ensemble learning
• 10. The logic of knowledge
• 11. Indexes and bibliography
• Bibliography
• Index.
• (source: Nielsen Book Data)

What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches.
(source: Nielsen Book Data)

• PREFACE ix LIST OF FIGURES AND TABLES xiii INTRODUCTION xv
• CHAPTER 1. WHAT IS BIG DATA? 1 1.1. The four "V"s characterizing Big Data 3 1.1.1. V for "Volume" 3 1.1.2. V for "Variety" 4 1.1.3. V for "Velocity" 8 1.1.4. V for "Value", associated with Smart Data 9 1.2. The technology that supports Big Data 10
• CHAPTER 2. WHAT IS SMART DATA? 13 2.1. How can we define it? 13 2.1.1. More formal integration into business processes 13 2.1.2. A stronger relationship with transaction solutions 14 2.1.3. The mobility and the temporality of information 15 2.2. The structural dimension 17 2.2.1. The objectives of a BICC 17 2.3. The closed loop between Big Data and Smart Data 18
• CHAPTER 3. ZERO LATENCY ORGANIZATION 21 3.1. From Big Data to Smart Data for a zero latency organization 21 3.2. Three types of latency 21 3.2.1. Latency linked to data 21 3.2.2. Latency linked to analytical processes 22 3.2.3. Latency linked to decisionmaking processes 23 3.2.4. Action latency 23
• CHAPTER 4. SUMMARY BY EXAMPLE 25 4.1. Example 1: date/product/price recommendation 26 4.1.1. Steps "1" and "2" 28 4.1.2. Steps "3" and "4": enter the world of "Smart Data" 29 4.1.3. Step "5": the presentation phase 29 4.1.4. Step "6": the "Holy Grail" (the purchase) 30 4.1.5. Step "7": Smart Data 30 4.2. Example 2: yield/revenue management (rate controls) 31 4.2.1. How it works: an explanation based on the Tetris principle (see Figure 4.4) 35 4.3. Example 3: optimization of operational performance 38 4.3.1. General department (top management) 42 4.3.2. Operations departments (middle management) 42 4.3.3. Operations management (and operational players) 43 CONCLUSION 47 BIBLIOGRAPHY 51 GLOSSARY 53 INDEX 57.
• (source: Nielsen Book Data)

A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today's decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the "digitalization" of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.
(source: Nielsen Book Data)

Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world About This Book * Grasp a complete reference of different Hive topics. * Get to know the latest recipes in development in Hive including CRUD operations * Understand Hive internals and integration of Hive with different frameworks used in today's world. Who This Book Is For The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required What You Will Learn * Learn different features and offering on the latest Hive * Understand the working and structure of the Hive internals * Get an insight on the latest development in Hive framework * Grasp the concepts of Hive Data Model * Master the key concepts like Partition, Buckets and Statistics * Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc In Detail Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks. Style and approach Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.
(source: Nielsen Book Data)

• Part 1: An Introduction to Multitenant
• Chapter 1: Introduction to Multitenant
• Chapter 2: Creating the Database
• Chapter 3: Single-Tenant, Multitenant, and Application Container
• Part 2: Multitenant Administration
• Chapter 4: Day-to-Day Management
• Chapter 5: Networking and Services
• Chapter 6: Security
• Part 3: Backup, Recovery, and Database Movement
• Chapter 7: Backup and Recovery
• Chapter 8: Flashback and Point-in-Time Recovery
• Chapter 9: Moving Data
• Part 4: Advanced Multitenant
• Chapter 10: Resource Manager
• Chapter 11: Data Guard
• Chapter 12: Sharing Data Across PDBs
• Chapter 13: Logical Replication.
• (source: Nielsen Book Data)

Master the multitenant features of Oracle Database 12c Maintain a scalable, highly available enterprise computing platform and dramatically reduce complexity by learning to leverage the powerful new multitenant tools and cloud enhancements available in Oracle Database 12c. You will get hands-on, detailed coverage of key areas such as installation, creation, configuration, and day-to-day administration. Oracle Database 12c Release 2 Multitenant teaches, step-by-step, how to implement and manage multitenant configurations across IT frameworks of all types and sizes. Special attention is given to new features built for both public and private clouds, including Database as a Service (DBaaS) functionality and cloud-based security. Advanced topics are also fully explained, including backup and recovery, data guard, flashback, and resource manager. * Provides targeted best practices and tips for effective administration * Offers start-to finish coverage of both simple and complex installations * Authored by a team of Oracle Masters with a combined 40+ years of experience.
(source: Nielsen Book Data)

• Chapter 1: Introduction to APEX
• Chapter 2: Getting Ready
• Chapter 3: APEX IDE: Quick Tour & Basic Concepts
• Chapter 4: APEX Applications - Concepts and Building Blocks
• Chapter 5: The Page Designer
• Chapter 6: APEX Wizards
• Chapter 7: Computations, Validations and Processes
• Chapter 8: Crafting a Powerful UI
• Chapter 9: Dynamic Actions
• Chapter 10: APEX Security
• Chapter 11: Packaging and Deployment.
• (source: Nielsen Book Data)

This Oracle Press guide shows how to build and deploy powerful Web applications with Oracle Application Express and features full coverage of the latest version, APEX 5.0This comprehensive volume from Oracle Press offers up-to-date coverage of Oracle Application Express (APEX), Oracle's rapid development tool for the Web developer. APEX is an entirely Web-based framework that comes built into every edition of Oracle Database-its backbone is Oracle's powerful PL/SQL language, alongside the most advanced Web development technologies like HTML5, mobile development, and full support of CSS and JavaScript. APEX enables anyone-from novice user to seasoned developer-to easily create Web applications that are powerful, reliable, and highly scalable. Oracle Application Express: Build Powerful Data-Centric Web Apps lays out basic information about APEX concepts before delving into the unparalleled power of the platform and describing the new features in version 5.0. You will discover how to install and configure APEX, work with the Application Builder and Page Designer, use built-in wizards, and design custom Web apps. Teaches the cleanest and fastest builds for high-performance, secure web applicationsShows how to effectively migrate legacy applications into a modern Web-based environmentAuthored by early adopters of APEX 5.0 who have been active in the APEX community for years.
(source: Nielsen Book Data)

Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world About This Book * Grasp a complete reference of different Hive topics. * Get to know the latest recipes in development in Hive including CRUD operations * Understand Hive internals and integration of Hive with different frameworks used in today's world. Who This Book Is For The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required What You Will Learn * Learn different features and offering on the latest Hive * Understand the working and structure of the Hive internals * Get an insight on the latest development in Hive framework * Grasp the concepts of Hive Data Model * Master the key concepts like Partition, Buckets and Statistics * Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc In Detail Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks. Style and approach Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.
(source: Nielsen Book Data)

• Overview on Cloud and Networking. Network Protocols. Network Concepts and Design. Network Directory Services. Dynamic Host Service and Name Service. Networking with Windows PowerShell. Internet Data Transaction Protection. Internet Protocol Security. Routing and Remote Access Service. Virtual Private Network. Hybrid Cloud.
• (source: Nielsen Book Data)

Cloud computing is the most significant technology transformation since the introduction of the Internet in the early 1990s. As more and more companies and educational institutions plan to adopt a cloud-based IT infrastructure, today's job market requires IT professionals who understand cloud computing and have hands-on experience developing cloud-based networks. Cloud Computing Networking: Theory, Practice, and Development covers the key networking and system administration concepts as well as the vital hands-on skills you need to master cloud technology. This book is designed to help you quickly get started in deploying cloud services for a real-world business. It provides detailed step-by-step instructions for creating a fully functioning cloud-based IT infrastructure using the Microsoft Azure cloud platform. In this environment, you can develop cloud services collaboratively or individually. The book enhances your hands-on skills through numerous lab activities. In these lab activities, you will learn to Implement the following services in a cloud environment: Active Directory, DHCP, DNS, and Certificate Services Configure Windows Server so it can route IP traffic Implement IP Security Policy and Windows Firewall with Advanced Security tools Create a point-to-site connection between Microsoft Azure and a local computer Create a site-to-site connection between Microsoft Azure and an on-premises network Develop a hybrid cloud that integrates Microsoft Azure with a private cloud created on a local network Cloud Computing Networking: Theory, Practice, and Development includes numerous examples, figures, and screen shots to help you understand the information. Each chapter concludes with a summary of the major topics and a set of review questions. With this book, you will soon have the critical knowledge and skills to develop and manage cloud-based networks.
(source: Nielsen Book Data)

• Cover
• Title Page
• Copyright Page
• Dedication
• Contents at a Glance
• Contents
• Acknowledgments
• Introduction
• 1 Consolidation Planning for the Cloud
• Introducing Oracle Cloud Computing
• Consolidating to Physical Servers
• Running the Host Consolidation Planner
• Creating a Custom Consolidation Scenario for P2P
• Consolidating to Oracle Public Cloud Servers
• Consolidating to Virtual Machines
• Updating the Benchmark Rates
• Database Consolidation Workbench
• Creating a D2S Project and Scenario
• Creating a D2D Project and Scenario
• Implementing the Consolidation

• Self-Service: Request and Create a Snap Clone (CloneDB) Database Service
• Summary
• 3 Schema as a Service
• Create a Schema Pool
• Dealing with Quotas
• Creating a Data Profile
• Creating a Service Template for the HR Schema
• Creating a Service Template for User-Defined Schemas
• Request Settings
• Configuring Chargeback
• Self Service: Request and Create a Schema Service
• Self Service: Request and Create User-Defined Schemas
• Summary
• 4 Pluggable Database as a Service
• Creating a Pluggable Database Pool
• Setting Up Quotas
• Creating a Data Profile for PDB

• Creating a Service Template from a PDB Profile
• Creating a Service Template for an Empty PDB
• Setting Up Request Settings
• Configuring Chargeback
• Self Service: Request and Create a PDB Service for SALES PDB
• Self Service: Request and Create a PDB Service for Empty PDB
• Viewing Chargeback Results
• Administering the Cloud
• Summary
• 5 Hybrid Database Cloud
• Presetup for Hybrid Cloud
• Step 1: Register the Agent
• Step 2: Generate SSH Keys
• Step 3: Create a Named Credential
• Step 4: Changing SELINUX to Permissive
• Other Requirements
• Testing the Hybrid Cloud

• Installing the Cloud Agent
• Discovering the Database and Listener on the Cloud Server
• Comparing On-Premise and Cloud Database Configurations
• Cloning PDBs from On-Premise to Cloud
• Preserving the Agent Home When Patching the Cloud Database
• Cloning to Oracle Cloud
• Masking Results
• Verifying the APEX Version of CDBs
• Cloning from Oracle Cloud
• Summary
• 6 Using the Cloud REST API
• Installing the REST Client
• Presteps
• Step 1: Viewing Details
• Step 2: Creating a Database
• Checking the Progress of Database Creation via the Enterprise Manager API

"This hands-on Oracle Press guide shows, step-by-step, how to build, configure, and manage a data-backed private/hybrid cloud with Oracle Enterprise Manager Cloud Control 13c. Written by an Oracle Certified Master and experienced author, Oracle Database Cloud Cookbook with Oracle Enterprise Manager Cloud Control 13c offers clear explanations, real-world examples, and expert tips. Find out how to consolidate server and database assets; plan and set up your cloud; deliver DBaaS, SCHaaS, and PDBaaS; use the Cloud REST API; and work with hybrid cloud configurations. Standby databases, cloud-based security, and data backup are also covered in this comprehensive resource"-- Provided by publisher.

• Part 1: Business Intelligence
• Chapter 1: Equipping the Organization for Effective Decision Making
• Chapter 2: Making the Most of What You've Got--Using Business Intelligence
• Chapter 3: Seeking for the Source--The Source of Business Intelligence
• Chapter 4: Two, Two, Two Model in One--The BI Semantic Model
• Chapter 5: First Steps--Beginning the Development of Business Intelligence
• Part 2: Defining Business Intelligence Structures
• Chapter 6: Building Foundations--Creating the Data Marts
• Chapter 7: Transformers--Integration Services Structure and Components
• Chapter 8: Fill'er Up--Using Integration Services for Populating Data Marts
• Part 3: Working with a Tabular BI Semantic Model
• Chapter 9: Setting the Table--Creating a Tabular BI Semantic Model
• Chapter 10: A Fancy Table--Tabular BI Semantic Model Advanced Features
• Part 4: Working with a Multidimensional BI Semantic Model
• Chapter 11: Cubism--Measures and Dimensions
• Chapter 12: Bells and Whistles--Special Features of OLAP Cubes
• Chapter 13: Writing a New Script--MDX Scripting
• Chapter 14: Pulling It Out and Building It Up--MDX Queries
• Part 5: Modeling and Visualization with Power BI
• Chapter 15: Power BI Modeling
• Chapter 16: Power BI Reporting
• Part 6: Delivering
• Chapter 17: Special Delivery--Microsoft Business Intelligence Client Tools
• Chapter 18: Let's Get Together--Integrating Business Intelligence with Your Applications.
• (source: Nielsen Book Data)

Master the powerful BI tools available in Microsoft SQL Server 2016Enable informed, timely decision making across any type of organization using the expert tips and best practices contained in this hands-on guide. Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, fully explains how to effectively develop, customize, and distribute meaningful information. Thoroughly revised for Microsoft SQL Server 2016, the book shows, step-by-step, how to configure and populate databases, analyze the data, and deliver actionable business intelligence. You will discover how to build data marts, create BI Semantic Models, work with the MDX and DAX languages, and share insights using the latest Microsoft client tools. Microsoft BI Cloud, mobile client tools, and forecasting techniques are also covered in this comprehensive resource. * Example scenarios place the BI concepts and tools in real-world contexts * Sample code in the book is available for download though the companion website * Written by a Microsoft Certified Partner and experienced author.
(source: Nielsen Book Data)

Annotation Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application's release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data, such as what terms meant and how calculations are derived. In addition, the poor documentation about the application will be of limited use to the support team, and not investigating all of the inherent rules in the data may eventually lead to poorly-performing structures in the not-so-distant future. Now, what if you had a time machine and could go back and read this book. You would learn that even NoSQL databases like MongoDB require some level of data modeling. Data modeling is the process of learning about the data, and regardless of technology, this process must be performed for a successful application. You would learn the value of conceptual, logical, and physical data modeling and how each stage increases our knowledge of the data and reduces assumptions and poor design decisions.

• 1. Big Data Moves to the Center of the Universe
• 2. Measurement
• 3. Annotation
• 4. Identification, De-identification, and Re-identification
• 5. Ontologies and Semantics: How information is endowed with meaning
• 6. Standards and their Versions
• 7. Legacy Data
• 8. Hypothesis Testing
• 9. Prediction
• 10. Software
• 11. Complexity
• 12. Vulnerabilities
• 13. Legalities
• 14. Social and Ethical Issues.
• (source: Nielsen Book Data)

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.
(source: Nielsen Book Data)

• 1. Introduction
• 2. The problem of sentiment analysis
• 3. Document sentiment classification
• 4. Sentence subjectivity and sentiment classification
• 5. Aspect sentiment classification
• 6. Aspect and entity extraction
• 7. Sentiment lexicon generation
• 8. Analysis of comparative opinions
• 9. Opinion summarization and search
• 10. Analysis of debates and comments
• 11. Mining intentions
• 12. Detecting fake or deceptive opinions
• 13. Quality of reviews.
• (source: Nielsen Book Data)

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.
(source: Nielsen Book Data)

• Introduction to SQL and Relational Databases Brief History of SQL and Relational Databases SQL Standards Oracle, SQL Server and MySQL Versions Relational Database Basic Concepts Constraints Data Integrity Types of Relationships Summary Data Types Character Data Types Number Data Types Date Data Types Boolean Data Type Summary Installation of Oracle, SQL Server and MySQLMinimum System Requirements Installation of Oracle 12c Installation of SQL Server 2016 Installation of MySQL Server 5.7 Summary Exercise Database Development Tools Command Line Tools Installation of Oracle SQL Developer 4.3 Installation of SQL Management Studio 2016 Installation of MySQL Workbench 6.3 Summary Exercise Data Definition Language (DDL) Data Definition Language Statements Summary Exercises Data Manipulation Language (DML) Data Manipulation Language Data Control Language Summary Exercises Aggregate Functions and GROUP BY Clause Aggregate Functions GROUP BY and HAVING Clause GOUNP BY with AVG ( ) Function GROUP BY with COUNT ( ) Function GROUP BY with HAVING Condition Summary Exercises FunctionsCommon Number Functions Common String Functions Common Date and time Functions Conversion Functions Summary Exercises Advanced SQL Advanced SQL Statements Summary Exercises Joins INNER JOIN JOIN with USING Clause Joining with Multiple Tables LEFT JOIN RIGHT JOIN FULL JOIN Summary Exercise Views Creating Views in Oracle Creating Views in T-SQL Creating Views in MySQL Updating Views Summary Exercise Data Import and Export Oracle Data Export from Query Results SQL Server Data Export from Query Results MySQL Data Export from Query Results Oracle Data Import Tool SQL Server Data Import Tool MySQL Data Import Tool Summary Exercise Index.
• (source: Nielsen Book Data)

SQLis a widely used to access most databases, therefore database developers and system administrators should be familiar with it. This hands-on SQL book will help beginner and intermediate users to write queries that apply complex conditions on a table. The book's unique side by side approach makes it easy for the reader to learn three major query languages in the IT industry. The author has over 20 years of experience in database design. KEY FEATURES: Contains numerous practical screenshots of Oracle SQL, T-SQL, MySQL statements and results. Shows the differences between Oracle SQL, T-SQL and MySQL side by side. Gives a real world experience for SQL developers and database administrators. Sample data is available to work on (available on our website).
(source: Nielsen Book Data)

• Part 1: The Importance of SQL, PL/SQL and a Good Data Model
• Chapter 1: SQL, PL/SQL and When to Use Which
• Chapter 2: Expert Data Modeling and Implementing Business Logic
• Part 2: Underutilized Advanced SQL Functionality
• Chapter 3: Handling Advanced and Complex Datasets
• Chapter 4: Regular Expressions
• Chapter 5: Edition Based Redefinition
• Part 3: Essential Everyday Advanced PL/SQL
• Chapter 6: Running PL/SQL in SQL
• Chapter 7: Instrumenting, Profiling and Debugging PL/SQL
• Chapter 8: Dynamic SQL
• Chapter 9: PL/SQL for Database Management
• Part 4: Advanced Analytics
• Chapter 10: In-Database Data Mining Using Oracle Data Mining
• Chapter 11: Oracle R Enterprise
• Chapter 12: Predictive Queries
• Part 5: Database Security
• Chapter 13: Redaction and masking
• Chapter 14: Encryption and hashing
• Chapter 15: SQL Injection & Code Security
• Chapter 16: Virtual Private Databases (VPD).
• (source: Nielsen Book Data)

Develop, debug, and deploy secure data-centric programs using SQL and PL/SQL This comprehensive Oracle Press guide shows how to exploit the little known but extremely useful SQL and PL/SQL features to develop powerful applications-and how to effectively use both the languages together. Readers will learn to compare and contrast the standards and determine which-or a blend of the two-is optimal under any set of circumstances. Real World SQL and PL/SQL: Advice from the Experts focuses on practical, day-to-day operations and tasks taken up in complex projects. The authors provide best practices, real-world examples, and insider tips that clearly demonstrate, step-by-step, how to best implement code for a wide variety of applications that need to be both performant and secure. The book fully explains advanced SQL techniques, essential advanced PL/SQL development and tools, data modeling, advanced analytics using both Oracle-supplied tools and embedded R, and secure coding. Offers unique, highly-integrated coverage of both SQL and PL/SQL All code in the book is available for download and ready to implement Written by a team of Oracle ACE Directors some of whom are members of the Oak Table Network.
(source: Nielsen Book Data)

• Basics Database Queries Basic Setting Exact Search Similarity Search Join Errors
• Low-Dimensional Index Structures Hashing Static Hashing Dynamic Hashing Locality Sensitive Hashing (LSH) Multi-Dimensional Hashing Space-Filling Curves
• Memory-Based Index Structures Index Structures Binary Search Tree (BST) Quadtree K-D-Tree Range Tree Voronoi Diagram Tries Suffix Tree Bitmap Index
• Disk-Based Index Structures Hierarchical Structures B-Tree and B+-Tree K-D-B-Tree General Framework R-Tree R*-Tree R+-Tree Hilbert R-Tree SS-Tree SR-Tree P-Tree Bulk-Loading
• Distances Distance Functions Metric Spaces Lp Norm Quadratic Form Distance Cosine Similarity Statistical Distance Measures Distances between Sets of Objects Earth Mover's Distance Edit Distance
• Distance-Based Structures Triangular Inequality VP-Tree GH-Tree GNAT M-Tree SA-Tree AESA Linear AESA (LAESA) AESA for Vector Spaces
• High-Dimensional Spaces Curse of Dimensionality Analysis of Search for High-Dimensional Data Expected Nearest Neighbor Distance Expected Number of Page Accesses Curse of Dimensionality
• High-Dimensionality Structures X-Tree Pyramid Technique IMinMax VA-File A-Tree IQ-Tree
• Data Reduction Techniques Dimensionality Reduction Techniques Properties Useful for Similarity Search Quality Measures Embedding Singular Value Decomposition (SVD) Principal Component Analysis (PCA) Multi-Dimensional Scaling (MDS) IsoMap FastMap Embedding Methods Bounds on Distortion
• Data Representation Techniques Discrete Fourier Transform (DFT) Discrete Cosine Transform (DCT) Discrete Wavelet Transform (DWT) V-Optimal Histogram
• Appendices A Memory and Disk Accesses Memory Access Disks Flash
• B Distances of Bounding Boxes Distance of a Point from a Rectangle Distance of a Point from a Sphere Distance of a Sphere from a Rectangle Distance of a Sphere from a Sphere Distance of a Rectangle from a Rectangle
• C Vectors and Matrices Vector Spaces Matrices Properties of Matrices Dimensionality
• D Probability and Statistics Random Variable Probability Distribution Statistical Parameters.
• (source: Nielsen Book Data)

• Basics. Low-Dimensional Index Structures. Disk-Based Index Structures. Distances. High-Dimensional Spaces. Data Reduction Techniques. Appendices.
• (source: Nielsen Book Data)

Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity. After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hierarchical disk-based index structures. He then outlines useful distance measures and index structures that use the distance information to efficiently solve similarity search queries. Focusing on the difficult dimensionality phenomenon, he also presents several indexing methods that specifically deal with high-dimensional spaces. In addition, the book covers data reduction techniques, including embedding, various data transforms, and histograms. Through numerous real-world examples, this book explores how to effectively index and search for information in large collections of data. Requiring only a basic computer science background, it is accessible to practitioners and advanced undergraduate students.
(source: Nielsen Book Data)
Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity.After defining database queries and similarity search queries, the book organizes the most common and representative ind.
(source: Nielsen Book Data)

• 1. Bridging the Blockchain Knowledge Gap
• 2. The Mist Browser
• 3. The EVM
• 4. Solidity Programming
• 5. Smart Contacts and Tokens
• 6. Mining Ether
• 7. Cryptoeconomics Survey
• 8. Dapp Deployment
• 9. Creating Private Chains
• 10. Use Cases
• 11. Advanced Concepts.
• (source: Nielsen Book Data)

Learn how to use Solidity and the Ethereum project - second only to Bitcoin in market capitalization. Blockchain protocols are taking the world by storm, and the Ethereum project, with its Turing-complete scripting language Solidity, has rapidly become a front-runner. This book presents the blockchain phenomenon in context; then situates Ethereum in a world pioneered by Bitcoin. See why professionals and non-professionals alike are honing their skills in smart contract patterns and distributed application development. You'll review the fundamentals of programming and networking, alongside its introduction to the new discipline of crypto-economics. You'll then deploy smart contracts of your own, and learn how they can serve as a back-end for JavaScript and HTML applications on the Web. Many Solidity tutorials out there today have the same flaw: they are written for "advanced" JavaScript developers who want to transfer their skills to a blockchain environment. Introducing Ethereum and Solidity is accessible to technology professionals and enthusiasts of all levels. You'll find exciting sample code that can move forward real world assets in both the academic and the corporate arenas. Find out now why this book is a powerful gateway for creative technologists of all types, from concept to deployment. What You'll Learn See how Ethereum (and other cryptocurrencies) work Compare distributed apps (dapps) to web apps Write Ethereum smart contracts in Solidity Connect Ethereum smart contracts to your HTML/CSS/JavaScript web applications Deploy your own dapp, coin, and blockchain Work with basic and intermediate smart contracts Who This Book Is For Anyone who is curious about Ethereum or has some familiarity with computer science Product managers, CTOs, and experienced JavaScript programmers Experts will find the advanced sample projects in this book rewarding because of the power of Solidity.
(source: Nielsen Book Data) Written by a technology journalist trained in breaking down technical concepts into easy-to-understand prose, this book updates you on the last three years of progress since Bitcoin became popular ئ and then situates Ethereum in a world pioneered by Bitcoin. -- Edited summary from book.

Whether you're studying for the Oracle 9i Fundamentals I exam or just need to take the New Features update exam, Oracle 9i Funamentals I Exam Cram 2 can help you get certified. This efficient guide follows the exam objectives clearly and concisely. New Features materials are also included in the book, as well as a full-customizable practice test engine on CD. Oracle 9i Fundamentals I Exam Cram 2 is your smartest way to get certified.
(source: Nielsen Book Data)