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• Introduction The Case-Base Reasoning and Decision Making Learning Formal Aspects Summary and Beyond.
• (source: Nielsen Book Data)

Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.
(source: Nielsen Book Data)

• The Bites Eclectic: Critique-Based Conversational Recommendation for Diversity-Focused Meal Planning.- Evaluation of Similarity Measures for Flight Simulator Training Scenarios.- Instance-based Counterfactual Explanations for Time Series Classification. -User Evaluation to Measure the Perception of Similarities Measures in Artworks.- Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities.- A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries.- Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.- Revisiting Fast and Slow Thinking in Case-Based Reasoning.- Harmonizing Case Retrieval and Adaptation with Alternating Optimization.- Adaptation knowledge discovery using positive and negative cases.- When Revision-Based Case Adaptation Meets Analogical Extrapolation.- Inferring Case-Based Reasoners' Knowledge to Enhance Interactivity.- A case-based approach for the selection of explanation algorithms in image classification.- Towards Richer Realizations of Holographic CBR. -Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future.- Case-Based Approach to Data-to-Text Generation. - On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval.- Task and Situation Structures for Case-based Planning.- Learning Adaptations for Case-Based Classification: A Neural Network Approach.- Similar Questions Correspond to Similar SQL Queries: A Case-Based Reasoning Approach for Text-to-SQL Translation.- Deciphering Ancient Chinese Oracle Bone Inscriptions using Case-Based Reasoning.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 29th International Conference on Case-Based Reasoning, ICCBR 2021, which took place in Salamanca, Spain, during September 13-16, 2021. The 21 papers presented in this volume were carefully reviewed and selected from 85 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).
(source: Nielsen Book Data)

• Part I: Design Support.- The Design Process of Product and Process Development.- Decision Support in Design.- Part II: Case-Based Design Support.- Case-Based Reasoning Approach.- Similarity and Adaptation Concepts.- Case-Based Reasoning Environment
• Cabareen.- Part III: Application to Support of Design Process.- Product Design: Food Product Formulation.- Conceptual Design: Process Sequence Synthesis.- Pre-Detailed Design: Process Model Selection.- Equipment Design: Reactive Distillation Column Design.
• (source: Nielsen Book Data)

The book by Professors Avramenko and Kraslawski is unique in several important ways. First, it is an impressive and in-depth treatment of the essence of the case-based reasoning strategy and case-based design dwelling upon the algorithmic facet of the paradigm. Second, the authors provided an excellent applied research framework by showing how this development can be effectively utilized in real word complicated environment of process engineering - a pursuit that is rarely reported in the literature in such a comprehensive manner as done in this book. In a highly authoritative and systematic manner, the authors guide the reader through the essential features of the CBR machinery.
(source: Nielsen Book Data)

• Invited Talks.- Translational Bioinformatics: Challenges and Opportunities for Case-Based Reasoning and Decision Support.- Why and How Knowledge Discovery Can Be Useful for Solving Problems with CBR.- Real-Time Case-Based Reasoning for Interactive Digital Entertainment.- Theoretical/Methodological Research Papers.- Applying Machine Translation Evaluation Techniques to Textual CBR.- Intelligent Data Interpretation and Case Base Exploration through Temporal Abstractions.- An Algorithm for Adapting Cases Represented in an Expressive Description Logic.- Case-Based Plan Diversity.- Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based Generalization.- Text Adaptation Using Formal Concept Analysis.- Visualization for the Masses: Learning from the Experts.- Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse.- The Utility Problem for Lazy Learners - Towards a Non-eager Approach.- EGAL: Exploration Guided Active Learning for TCBR.- Introspective Knowledge Revision in Textual Case-Based Reasoning.- A General Introspective Reasoning Approach to Web Search for Case Adaptation.- Detecting Change via Competence Model.- CBTV: Visualising Case Bases for Similarity Measure Design and Selection.- Goal-Driven Autonomy with Case-Based Reasoning.- Case Retrieval with Combined Adaptability and Similarity Criteria: Application to Case Retrieval Nets.- Amalgams: A Formal Approach for Combining Multiple Case Solutions.- Recognition of Higher-Order Relations among Features in Textual Cases Using Random Indexing.- Extending CBR with Multiple Knowledge Sources from Web.- Taxonomic Semantic Indexing for Textual Case-Based Reasoning.- A Case for Folk Arguments in Case-Based Reasoning.- Reexamination of CBR Hypothesis.- Applied Research Papers.- Case Based Reasoning with Bayesian Model Averaging: An Improved Method for Survival Analysis on Microarray Data.- User Trace-Based Recommendation System for a Digital Archive.- On-the-Fly Adaptive Planning for Game-Based Learning.- A Case Based Reasoning Approach for the Monitoring of Business Workflows.- A Case-Based Reasoning Approach to Automating the Construction of Multiple Choice Questions.- Towards Case-Based Adaptation of Workflows.- A Method Based on Query Caching and Predicate Substitution for the Treatment of Failing Database Queries.- Case Acquisition from Text: Ontology-Based Information Extraction with SCOOBIE for myCBR.- Similarity-Based Retrieval and Solution Re-use Policies in the Game of Texas Hold'em.- Experience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation.- Improving Pervasive Application Behavior Using Other Users' Information.- a.SCatch: Semantic Structure for Architectural Floor Plan Retrieval.- Runtime Estimation Using the Case-Based Reasoning Approach for Scheduling in a Grid Environment.
• (source: Nielsen Book Data)

The International Conference on Case-Based Reasoning (ICCBR) is the preeminentinternationalmeetingoncase-basedreasoning(CBR). Through2009, ICCBR (http://www. iccbr. org) had been a biennial conference, held in alter- tion with its sister conference, the European Conference on Case-BasedReas- ing (http://www. eccbr. org), which was located in Europe. At the 2009 ICCBR, the ICCBR ProgramCommittee elected to extend ano?er of consoli- tion with ECCBR. The o?er was accepted by the ECCBR 2010 organizers and they have considered it approved by the ECCBR community, as the two conf- ences share a majority of Program Committee members. ICCBR and ECCBR havebeen theleading conferencesonCBR. From2010, ICCBRandECCBRwill be merged in a single conference series, called ICCBR. As there had been eight previous ICCBR events and nine previous ECCBR events, the combined series is considered the 18th ICCBR. ICCBR 2010 (http://www. iccbr. org/iccbr10) was therefore the 18th in this seriesof internationalconferenceshighlighting the mostsigni?cantcontributions tothe?eldofCBR. TheconferencetookplaceduringJuly19-22,2010inthecity of Alessandria, Italy, on the beautiful campus of the University of Piemonte O- entale "A. Avogadro. " Previous ICCBR conferences were held in Sesimbra, P- tugal(1995), Providence, RhodeIsland, USA(1997), SeeonMonastery, Germany (1999), Vancouver, BC, Canada (2001), Trondheim, Norway (2003), Chicago, Illinois, USA (2005), Belfast, Northern Ireland (2007), and Seattle, Washington, USA (2009). Day 1 of the conference hosted an Applications Track, the second Doctoral Consortium, and the third Computer Cooking Contest. The Applications Track featured ?elded applications and CBR systems demos in industrial and scienti?c settingswithanemphasis ondiscussionandnetworkingbetweenresearchersand industrials.
(source: Nielsen Book Data)

• Invited Talks.- Case-Based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR.- An Analysis of Research Themes in the CBR Conference Literature.- Semantics and Experience in the Future Web.- Research Papers.- Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning.- Formal and Experimental Foundations of a New Rank Quality Measure.- Provenance, Trust, and Sharing in Peer-to-Peer Case-Based Web Search.- Visualizing and Evaluating Complexity of Textual Case Bases.- Learning Similarity Functions from Qualitative Feedback.- Conservative Adaptation in Metric Spaces.- Opportunistic Acquisition of Adaptation Knowledge and Cases - The IakA Approach.- Noticeably New: Case Reuse in Originality-Driven Tasks.- Experience-Based Design of Behaviors in Videogames.- Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation.- Retrieval Based on Self-explicative Memories.- Increasing Precision of Credible Case-Based Inference.- Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.- Using Case Provenance to Propagate Feedback to Cases and Adaptations.- Towards Case-Based Support for e-Science Workflow Generation by Mining Provenance.- Knowledge Planning and Learned Personalization for Web-Based Case Adaptation.- Cases, Predictions, and Accuracy Learning and Its Application to Effort Estimation.- Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications.- Case-Based Decision Support for Patients with Type 1 Diabetes on Insulin Pump Therapy.- Conversational Case-Based Reasoning in Self-healing and Recovery.- Situation Assessment for Plan Retrieval in Real-Time Strategy Games.- Optimization Algorithms to Find Most Similar Deductive Consequences (MSDC).- Understanding Dubious Future Problems.- Conversational Case-Based Recommendations Exploiting a Structured Case Model.- k-NN Aggregation with a Stacked Email Representation.- Case-Based Reasoning and the Statistical Challenges.- Evaluation Measures for TCBR Systems.- CBR for CBR: A Case-Based Template Recommender System for Building Case-Based Systems.- Forgetting Reinforced Cases.- iReMedI - Intelligent Retrieval from Medical Information.- Adaptation through Planning in Knowledge Intensive CBR.- Folk Arguments, Numerical Taxonomy and Case-Based Reasoning.- Real-Time Plan Adaptation for Case-Based Planning in Real-Time Strategy Games.- Horizontal Case Representation.- Application Papers.- Supporting Fraud Analysis in Mobile Telecommunications Using Case-Based Reasoning.- Predicting the Presence of Oil Slicks After an Oil Spill.- Case Based Interpretation of Soil Chromatograms.- Case-Based Troubleshooting in the Automotive Context: The SMMART Project.- Rapid Prototyping of CBR Applications with the Open Source Tool myCBR.
• (source: Nielsen Book Data)

This volume contains the papers presented at the 9th European Conference on Case-Based Reasoning (ECCBR 2008). Case-based reasoning (CBR) is an arti?cial intelligence approach whereby new problems are solved by remembering, adapting and reusing solutions to a previously solved, similar problem. The collection of previously solved problems andtheirassociatedsolutionsisstoredinthecasebase. Neworadaptedsolutions are learned and updated in the case base as needed. In remembrance of the First European Workshop on Case-Based Reasoning, which took place 15 years ago at the European Academy Otzenhausen, not far from Trier, this year's conference was especially devoted to the past, present, and future of case-based reasoning. ECCBR and the International Conference on Case-Based Reasoning (IC- CBR) alternate every year. ECCBR 2008 followed a series of seven successful European workshops previously held in Otzenhausen, Germany (1993), Ch- tilly, France (1994), Lausanne, Switzerland (1996), Dublin, Ireland (1998), and Trento, Italy (2000), and three European conferences in Aberdeen, UK (2002), .. Madrid, Spain (2004), and Olu ..deniz/Fethiye, Turkey (2006). The International Conferences on Case-Based Reasoning (ICCBR) were previously held in Ses- bra, Portugal (1995), Providence, Rhode Island, USA (1997), Seeon, Germany (1999), Vancouver, Canada (2001), Trondheim, Norway (2003), Chicago, USA (2005), and Belfast, Northern Ireland (2007). These meetings have a history of attracting ?rst-class European and international researchers and practiti- ers. The proceedings of the ECCBR and ICCBR conferences are published by Springer in their LNAI series.
(source: Nielsen Book Data)

• Searching Museum Routes using CBR,
• Comparative Evaluation of Rule-Based and Case-Based Retrieval Coordination for Search of Architectural Building Designs,
• Case Representation and Similarity Assessment in the selfBACK Decision Support System,
• Accessibility-driven cooking system,
• Inferring Users' Critiquing Feedback on Recommendations from Eye Movements
• Eager to be lazy: Towards a Complexity-guided Textual Case-Based Reasoning System
• Personalized Opinion-based Recommendation
• Concept Discovery and Argument Bundles in the Experience Web
• Incorporating Transparency During Trust-Guided Behavior Adaptation
• Inferring Student Coding Goals Using Abstract Syntax Trees
• Combining CBR and Deep Learning to Generate Surprising Recipe Designs
• Qualitative Case-based Reasoning for Humanoid Robot Soccer: a new retrieval and reuse algorithm
• Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical features
• Similarity Metrics from Social Network Analysis for Content Recommender Systems
• Analogical Transfer in RDFS, Application to Cocktail Name Adaptation
• Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression
• Applicability of Case-based Reasoning for Selection of Cyanide-free Gold Leaching Methods
• Competence Guided Casebase Maintenance for Compositional Adaptation Applications
• On the Transferability of Process-oriented Cases
• Case Completion of Workows for Process-Oriented Case-Based Reasoning
• Refinement-based Similarity Measures for Directed Labeled Graphs
• FEATURE-TAK
• Framework for Extraction, Analysis, and Transformation of Unstructured Textual Aircraft Knowledge
• Knowledge Extraction and Annotation for Cross-Domain Textual Case Based Reasoning in Biologically Inspired Design
• Predicting the Electricity Consumption of Buildings: An Improved CBR Approach
• Case Representation and Retrieval Techniques for Neuroanatomical Connectivity Extraction from PubMed
• Compositional Adaptation of Explanations in Textual Case-based Reasoning
• Relevance Matrix Generation using Sensitivity Analysis in a Case-Based Reasoning Environment
• Combining Case-Based Reasoning and Reinforcement Learning for Tactical Unit Selection in Real-Time Strategy Game AI.

This book constitutes the refereed proceedings of the 24th International Conference on Case-Based Reasoning Research and Development, ICCBR 2016, held in Atlanta, GA, USA, in October/November 2016. The 14 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from foundations of Case-Based Reasoning; over CBR systems for specific tasks and related fields; up to CBR systems, applications and lessons learned in specific areas of expertise such as health; e-science; finance; energy, logistics, traffic; game/AI; cooking; diagnosis, technical support; as well as knowledge and experience management.

• Invited Talks.- We're Wiser Together.- Black Swans, Gray Cygnets and Other Rare Birds.- Theoretical/Methodological Research Papers.- Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions.- Case-Based Reasoning in Transfer Learning.- Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples.- Opportunistic Adaptation Knowledge Discovery.- Improving Reinforcement Learning by Using Case Based Heuristics.- Dimensions of Case-Based Reasoner Quality Management.- Belief Merging-Based Case Combination.- Maintenance by a Committee of Experts: The MACE Approach to Case-Base Maintenance.- The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing.- An Active Approach to Automatic Case Generation.- Four Heads Are Better than One: Combining Suggestions for Case Adaptation.- Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions.- Boosting CBR Agents with Genetic Algorithms.- Using Meta-reasoning to Improve the Performance of Case-Based Planning.- Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features.- On Similarity Measures Based on a Refinement Lattice.- An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation and Retrieval.- Robust Measures of Complexity in TCBR.- S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control.- Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender.- Abstraction in Knowledge-Rich Models for Case-Based Planning.- A Scalable Noise Reduction Technique for Large Case-Based Systems.- Conceptual Neighborhoods for Retrieval in Case-Based Reasoning.- CBR Supports Decision Analysis with Uncertainty.- Constraint-Based Case-Based Planning Using Weighted MAX-SAT.- Applied Research Papers.- A Value Supplementation Method for Case Bases with Incomplete Information.- Efficiently Implementing Episodic Memory.- Integration of a Methodology for Cluster-Based Retrieval in jColibri.- Case-Based Collective Inference for Maritime Object Classification.- Case-Based Reasoning for Situation-Aware Ambient Intelligence: A Hospital Ward Evaluation Study.- Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning.- Case-Based Support for Forestry Decisions: How to See the Wood from the Trees.- A Case-Based Perspective on Social Web Search.- Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge.
• (source: Nielsen Book Data)

The International Conference on Case-Based Reasoning (ICCBR) is the p- eminent international meeting on case-based reasoning (CBR). ICCBR 2009 (http://www.iccbr.org/iccbr09/)was the eighth in this series of biennial - ternationalconferenceshighlightingthemostsigni?cantcontributions tothe?eld of CBR. The conference took place during July 20-23, 2009 in Seattle, Wa- ington, USA. Previous ICCBR conferences have been held in Belfast, Northern Ireland, UK (2007), Chicago, USA (2005), Trondheim, Norway (2003), Vanc- ver, Canada (2001), Seeon, Germany (1999), Providence, Rhode Island, USA (1997), and Sesimbra, Portugal (1995). Day1oftheconferencehostedanApplicationsTrackandintroducedthe?rst ICCBR Doctoral Consortium. The Applications Track focused on real-world- amples of the use of CBR in industrial ?elded applications and provided a co- erative forum for the cross-fertilization of ideas between academic and industry attendees. The Doctoral Consortium concentrated on providing a supportive atmosphere for early-stage CBR researchers. Participants were matched with mentors, who provided guidance on their research trajectory, as well as advice about writing and presenting their research. Day 2 featured topical workshops on "Reasoning from Experiences on the Web, " "Case-BasedReasoning for Computer Games, " "Uncertainty, Knowledge DiscoveryandSimilarityinCase-BasedReasoning, "and"CBRintheHealthS- ences."Inaddition, thesecondCBRComputerCookingContestwasheldfoll- ingonfromitssuccessatthe9thEuropeanConferenceonCase-BasedReasoni ng (ECCBR 2008) held in Trier, Germany. Students and research groups described their entries in terms of the application of case retrieval, adaptation, and com- nation methods for cooking recipes, and participated in an energeticlivedem- strative competition that was enjoyed by all attendees of the conference.
(source: Nielsen Book Data)

• Invited Papers.- Cases in Robotic Soccer.- A Case-Based Framework for Collaborative Semantic Search in Knowledge Sifter.- Usages of Generalization in Case-Based Reasoning.- Research Papers.- Team Playing Behavior in Robot Soccer: A Case-Based Reasoning Approach.- Acquiring Word Similarities with Higher Order Association Mining.- Label Ranking in Case-Based Reasoning.- When Similar Problems Don't Have Similar Solutions.- Mixed-Initiative Relaxation of Constraints in Critiquing Dialogues.- A Methodology for Analyzing Case Retrieval from a Clustered Case Memory.- Using Cases Utility for Heuristic Planning Improvement.- Case-Based Reasoning Adaptation for High Dimensional Solution Space.- Case-Based Planning and Execution for Real-Time Strategy Games.- Case Authoring: From Textual Reports to Knowledge-Rich Cases.- Case Provenance: The Value of Remembering Case Sources.- Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge.- Representation and Structure-Based Similarity Assessment for Agile Workflows.- Application of the Revision Theory to Adaptation in Case-Based Reasoning: The Conservative Adaptation.- Methodological Assistance for Integrating Data Quality Evaluations into Case-Based Reasoning Systems.- Case-Based Anomaly Detection.- Case-Based Reasoning in Robot Indoor Navigation.- Case-Based Group Recommendation: Compromising for Success.- Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering.- Enhancing Case-Based, Collaborative Web Search.- An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs.- From Anomaly Reports to Cases.- Assessing Classification Accuracy in the Revision Stage of a CBR Spam Filtering System.- Application Papers.- Intelligent Guidance and Suggestions Using Case-Based Planning.- Case-Based Reasoning for Invoice Analysis and Recognition.- Watershed Segmentation Via Case-Based Reasoning.- A Case-Based Song Scheduler for Group Customised Radio.- Helping Software Engineers Reusing UML Class Diagrams.- Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System.- Classify and Diagnose Individual Stress Using Calibration and Fuzzy Case-Based Reasoning.- Prototypical Cases for Knowledge Maintenance in Biomedical CBR.- Case-Based Support for Library Reference Services.- Knowledge Extraction and Summarization for an Application of Textual Case-Based Interpretation.
• (source: Nielsen Book Data)

The refereed proceedings of the 7th International Conference on Case-Based Reasoning are presented in this volume. Fifteen full research papers and eighteen poster papers are presented along with three invited talks. The papers address all aspects of case-based reasoning, featuring original theoretical research, applied research, and applications with practical, social, environmental, and economic significance.
(source: Nielsen Book Data)

• Part I: Basics. Introduction
• Basic CBR Elements
• Extended View
• Application Examples
• Part II: Core Methods. Case Representations
• Basic Similarity Topics
• Complex Similarity Topics
• Retrieval
• Adaptation
• Evaluation, Revision, and Learning
• Development and Maintenance
• Part III: Advanced Elements. Advanced CBR Elements
• Advanced Similarity Topics
• Advanced Retrieval
• Uncertainty
• Probabilities
• Part IV: Complex Knowledge Sources. Textual CBR
• Images
• Sensor Data and Speech
• Conversational CBR
• Knowledge Management
• Part V: Additions
• Basic Formal Definitions and Methods
• Relations and Comparisons with Other Techniques.
• Environmental Impact of Soil Microorganisms on Global Change.

This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.
(source: Nielsen Book Data)

• Part I: Basics. Introduction
• Basic CBR Elements
• Extended View
• Application Examples
• Part II: Core Methods. Case Representations
• Basic Similarity Topics
• Complex Similarity Topics
• Retrieval
• Adaptation
• Evaluation, Revision, and Learning
• Development and Maintenance
• Part III: Advanced Elements. Advanced CBR Elements
• Advanced Similarity Topics
• Advanced Retrieval
• Uncertainty
• Probabilities
• Part IV: Complex Knowledge Sources. Textual CBR
• Images
• Sensor Data and Speech
• Conversational CBR
• Knowledge Management
• Part V: Additions
• Basic Formal Definitions and Methods
• Relations and Comparisons with Other Techniques.
• Environmental Impact of Soil Microorganisms on Global Change.

This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.
(source: Nielsen Book Data)

• Main technical papers.- Computational analogy.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 26th International Conference on Case-Based Reasoning Research and Development, ICCBR 2018, held in Stockholm, Sweden, in July 2018. The 39 full papers presented in this book were carefully reviewed and selected from 77 submissions. The theme of ICCBR-2017, "The Future of CBR", was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction. Topics included multiple papers on textual CBR and a number of cognitive and human oriented papers as well as hybrid research between CBR and machine learning.
(source: Nielsen Book Data)

• Invited Paper.- Technical Session: Workflows.- Technical Session: Applications in Health.- Technical Session: New paradigms.- Technical Session: Explanations.- Technical Session: Deep learning.- Technical Session: Applications.- Technical Session: Retrieval and Adaptation.- Special Track Challenges & Promises.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 28th International Conference on Case-Based Reasoning Research and Development, ICCBR 2020, held in Salamanca, Spain*, in June 2020. The 20 full papers and 2 short papers presented in this book were carefully reviewed and selected from 64 submissions. The theme of ICCBR 2020, "CBR Across Bridges" was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction. *The conference was held virtually due to the COVID-19 pandemic.
(source: Nielsen Book Data)