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Case-Based Reasoning Research and Development: 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015. Proceedings (Lecture Notes in Computer Science #9343)
by Eyke Hüllermeier Mirjam MinorThis book constitutes the refereed proceedings of the 23rd International Conference on Case-Based Reasoning Research and Development, ICCBR 2015, held in Frankfurt am Main, Germany, in September 2015. The 26 revised full papers presented were carefully reviewed and selected from 37 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
Case-Based Reasoning Research and Development: 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings (Lecture Notes in Computer Science #9969)
by Ashok Goel, M Belén Díaz-Agudo and Thomas Roth-BerghoferThis 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.
Case-Based Reasoning Research and Development: 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings (Lecture Notes in Computer Science #10339)
by David W. Aha Jean LieberThe 2001 International Conference on Case-Based Reasoning (ICCBR 2001, www. iccbr. org/iccbr01), the fourth in the biennial ICCBR series (1995 in Sesimbra, Portugal; 1997 in Providence, Rhode Island (USA); 1999 in Seeon, Germany), was held during 30 July - 2 August 2001 in Vancouver, Canada. ICCBR is the premier international forum for researchers and practitioners of case based reasoning (CBR). The objectives of this meeting were to nurture significant, relevant advances made in this field (both in research and application), communicate them among all attendees, inspire future advances, and continue to support the vision that CBR is a valuable process in many research disciplines, both computational and otherwise. ICCBR 2001 was the first ICCBR meeting held on the Pacific coast, and we used the setting of beautiful Vancouver as an opportunity to enhance participation from the Pacific Rim communities, which contributed 28% of the submissions. During this meeting, we were fortunate to host invited talks by Ralph Bergmann, Ken Forbus, Jaiwei Han, Ramon L#65533;pez de M#65533;ntaras, and Manuela Veloso. Their contributions ensured a stimulating meeting; we thank them all.
Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings (Lecture Notes in Computer Science #11680)
by Cindy Marling Kerstin BachThis book constitutes the refereed proceedings of the 27th International Conference on Case-Based Reasoning Research and Development, ICCBR 2019, held in Otzenhausen, Germany, in September 2019. The 26 full papers presented in this book were carefully reviewed and selected from 43 submissions. 15 were selected for oral presentation and 11 for poster presentation. The theme of ICCBR 2019, "Explainable AI (XAI)," 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.
Case-Based Reasoning Research and Development: 28th International Conference, ICCBR 2020, Salamanca, Spain, June 8–12, 2020, Proceedings (Lecture Notes in Computer Science #12311)
by Ian Watson Rosina WeberThis 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.
Case-Based Reasoning Research and Development: 29th International Conference, ICCBR 2021, Salamanca, Spain, September 13–16, 2021, Proceedings (Lecture Notes in Computer Science #12877)
by Antonio A. Sánchez-Ruiz Michael W. FloydThis 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).
Case-Based Reasoning Research and Development: 30th International Conference, ICCBR 2022, Nancy, France, September 12–15, 2022, Proceedings (Lecture Notes in Computer Science #13405)
by Mark T. Keane Nirmalie WiratungaThis book constitutes the proceedings of the 30th International Conference on Case-Based Reasoning, ICCBR 2022, which took place in Nancy, France, during September 12-15, 2022.The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 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).
Case-Based Reasoning Research and Development: 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17–20, 2023, Proceedings (Lecture Notes in Computer Science #14141)
by Stewart Massie Sutanu ChakrabortiThis book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.
Case-Based Reasoning Research and Development: 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1–4, 2024, Proceedings (Lecture Notes in Computer Science #14775)
by Derek Bridge Juan A. Recio-Garcia Mauricio G. Orozco-del-CastilloThis book constitutes the refereed proceedings of the 32nd International Conference on Case-Based Reasoning Research and Development, ICCBR 2024, held in Merida, Mexico, during July 1–4, 2024. The 29 full papers included in this book were carefully reviewed and selected from 91 submissions. They cover a wide range of CBR topics of interest both to practitioners and researchers, including: improvements to the CBR methodology itself: case representation, similarity, retrieval, adaptation, etc.; synergies with other Artificial Intelligence topics, such as Explainable AI and Large Language Models; and finally a whole catalog of applications to different domains such as health-care, education, and legislation.
Case-Based Reasoning: A Textbook (Lecture Notes in Computer Science #4626)
by Michael M. Richter Rosina O. WeberThis 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.
Case-based Evidence - Grundlagen und Anwendung: Prognose und Verbesserung der Akzeptanz von Produkten und Projekten
by Meike Schumacher Georg Rainer HofmannDas Praxisbuch erl#65533;utert anschaulich anhand konkreter F#65533;lle, wie Analogien f#65533;r die Prognose und Erh#65533;hung der Akzeptanz neuer Produkte und Projekte genutzt werden k#65533;nnen. Der Leser erh#65533;lt eine ,,Schritt f#65533;r Schritt Anleitung" zur Methodenanwendung mit zahlreichen Hinweisen und Best-Practice Beispielen. Die Autoren erl#65533;utern allgemein verst#65533;ndlich die Teilschritte der Methode: Zun#65533;chst werden die kritischen Ph#65533;nomene identifiziert. Analogieschl#65533;sse ausgew#65533;hlter Vergleichsf#65533;lle werden auf den aktuellen Fall #65533;bertragen. Diese isomorphen Mechanismen bilden die Grundlage eines synoptischen Modells, welches schlie#65533;lich in einer Serie qualifizierter Experteninterviews evaluiert wird. Das Buch richtet sich an Fachkr#65533;fte aus Gesch#65533;ftsentwicklung und Innovationsmanagement, aber auch an Praktiker aus Produktentwicklung und Marketing.
Casino and Gaming Resort Investigations
by Derk J. Boss Alan W. ZajicCasino and Gaming Resort Investigations addresses the continued and growing need for gaming security professionals to properly and successfully investigate the increasing and unique types of crime they will face in their careers. As the gaming industry has grown, so has the need for competent and highly skilled investigators who must be prepared to manage a case of employee theft one day to a sophisticated sports book scam the next. This book provides the reader with the fundamental knowledge needed to understand how each gaming and non-gaming department functions and interacts within the overall gaming resort, allowing the investigator to determine and focus on the important elements of any investigation in any area. Each chapter delivers a background of a department or type of crime normally seen in the gaming environment, and then discusses what should be considered important or even critical for the investigator to know or determine in the course of the investigation. Likely scenarios, case histories, and tips, as well as cautions for investigators to be aware of, are used throughout the book. This book was written for and directed at gaming security and surveillance professionals, including gaming regulators, and tribal gaming authorities, who are almost daily confronted by the ingenious and the most common scams, theft, and frauds that are perpetrated in the gaming world.
Cassandra (Revised) Third Edition: Distributed Data at Web Scale
by Eben Hewitt Jeff CarpenterImagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment.Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility.Understand Cassandra's distributed and decentralized structureUse the Cassandra Query Language (CQL) and cqlsh (the CQL shell)Create a working data model and compare it with an equivalent relational modelDesign and develop applications using client driversExplore cluster topology and learn how nodes exchange dataMaintain a high level of performance in your clusterDeploy Cassandra onsite, in the cloud, or with Docker and KubernetesIntegrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
Cassandra 3.x High Availability - Second Edition
by Robbie StricklandAchieve scalability and high availability without compromising on performance About This Book * See how to get 100 percent uptime with your Cassandra applications using this easy-follow guide * Learn how to avoid common and not-so-common mistakes while working with Cassandra using this highly practical guide * Get familiar with the intricacies of working with Cassandra for high availability in your work environment with this go-to-guide Who This Book Is For If you are a developer or DevOps engineer who has basic familiarity with Cassandra and you want to become an expert at creating highly available, fault tolerant systems using Cassandra, this book is for you. What You Will Learn * Understand how the core architecture of Cassandra enables highly available applications * Use replication and tunable consistency levels to balance consistency, availability, and performance * Set up multiple data centers to enable failover, load balancing, and geographic distribution * Add capacity to your cluster with zero downtime * Take advantage of high availability features in the native driver * Create data models that scale well and maximize availability * Understand common anti-patterns so you can avoid them * Keep your system working well even during failure scenarios In Detail Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra's architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You'll get an excellent understanding of data distribution, replication, and Cassandra's highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you'll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you'll find out how to steer clear of common anti-patterns and take advantage of Cassandra's ability to fail gracefully. Style and approach This practical guide will get you implementing Cassandra right from the design to creating highly available systems. Through a systematic, step-by-step approach, you will learn different aspects of building highly available Cassandra applications and all this with the help of easy-to-follow examples, tips, and tricks.
Cassandra Data Modeling and Analysis
by C. Y. KanIf you are interested in Cassandra and want to develop real-world analysis applications, then this book is perfect for you. It would be helpful to have prior knowledge of NoSQL database.
Cassandra Design Patterns
by Sanjay SharmaThis is a step-by-step guide to understanding and using Cassandra in the real world. The book starts with the origins and capabilities of Cassandra and then allows the reader to journey through various real world use cases where Cassandra can be used successfully. The book also deep dives into how to use Cassandra for these use cases and applying the right design patterns. If you are an architect or developer wanting to design real world applications using Cassandra, this book is ideal for you. It would be helpful to have a background in Cassandra or programming concepts, but the book is readable for general users who have experience in any programming language or are aware of RDBMS solutions.
Cassandra Design Patterns - Second Edition
by Rajanarayanan ThottuvaikkatumanaBuild real-world, industry-strength data storage solutions with time-tested design methodologies using CassandraAbout This BookExplore design patterns which co-exist with legacy data stores, migration from RDBMS, and caching technologies with CassandraLearn about design patterns and use Cassandra to provide consistency, availability, and partition tolerance guarantees for applicationsHandle temporal data for analytical purposesWho This Book Is ForThis book is intended for big data developers who are familiar with the basics of Cassandra and wish to understand and utilize Cassandra design patterns to develop real-world big data solutions. Prior knowledge of RDBMS solutions is assumed.What You Will LearnEnable Cassandra to co-exist with RDBMS and other legacy data storesExplore various design patterns to build effective and robust storage solutionsMigrate from RDBMS-based data stores and caching solutions to CassandraUnderstand the behaviour of Cassandra when trying to balance the needs of consistency, availability, and partition toleranceDeal with time stamps related to data effectivelySee how Cassandra can be used in analytical use casesApply the design patterns covered in this book in real-world use casesIn DetailThere are many NoSQL data stores used by big data applications. Cassandra is one of the most widely used NoSQL data stores that is frequently used by a huge number of heavy duty Internet-scale applications. Unlike the RDBMS world, the NoSQL landscape is very diverse and there is no one way to model data stores. This mandates the need to have good solutions to commonly seen data store design problems. Cassandra addresses such common problems simply.If you are new to Cassandra but well-versed in RDBMS modeling and design, then it is natural to model data in the same way in Cassandra, resulting in poorly performing applications and losing the real purpose of Cassandra. If you want to learn to make the most of Cassandra, this book is for you.This book starts with strategies to integrate Cassandra with other legacy data stores and progresses to the ways in which a migration from RDBMS to Cassandra can be accomplished. The journey continues with ideas to migrate data from cache solutions to Cassandra. With this, the stage is set and the book moves on to some of the most commonly seen problems in applications when dealing with consistency, availability, and partition tolerance guarantees.Cassandra is exceptionally good at dealing with temporal data and patterns such as the time-series pattern and log pattern, which are covered next. Many NoSQL data stores fail miserably when a huge amount of data is read for analytical purposes, but Cassandra is different in this regard. Keeping analytical needs in mind, you'll walk through different and interesting design patterns.No theoretical discussions are complete without a good set of use cases to which the knowledge gained can be applied, so the book concludes with a set of use cases you can apply the patterns you've learned.Style and approachThis book is written in very simple language and an engaging style complete with examples in every chapter and real-world use cases at the end of the book.
Cassandra High Availability
by Robbie StricklandIf you are a developer or DevOps engineer who understands the basics of Cassandra and are ready to take your knowledge to the next level, then this book is for you. An understanding of the essentials of Cassandra is needed.
Cassandra High Performance Cookbook
by Edward CaprioloThis is a cookbook and all tasks are approached as recipes. A recipe describes a task and outlines the steps necessary to complete this task.Some recipes in the book are examples of writing code. An example of this is a recipe that stores and accesses the entries of a phone book in Cassandra. The recipe consists of a description of the program, a full code example is given, the example is run, the output is displayed, and finally the how it works section describes the process or code in greater detail.Other recipes in the book describe a task. An example of this is a recipe that takes a snapshot back up of data in Cassandra. This recipe contains a description of the process, it then shows how to run the snapshot command and confirm that it worked, it then explains what the snapshot command does behind the scenes, finally the 'see also' section references other related recipes such as the recipe to restore a snapshot.This book is designed for administrators, developers, and data architects who are interested in Apache Cassandra for redundant, highly performing, and scalable data storage. Typically these users should have experience working with a database technology, multiple node computer clusters, and high availability solutions.
Cassandra: Distributed Data at Web Scale
by Eben Hewitt Jeff CarpenterImagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment.Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility.Understand Cassandra’s distributed and decentralized structureUse the Cassandra Query Language (CQL) and cqlsh—the CQL shellCreate a working data model and compare it with an equivalent relational modelDevelop sample applications using client drivers for languages including Java, Python, and Node.jsExplore cluster topology and learn how nodes exchange dataMaintain a high level of performance in your clusterDeploy Cassandra on site, in the Cloud, or with DockerIntegrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
Cassandra: The Definitive Guide
by Eben HewittWhat could you do with data if scalability wasn't a problem? With this hands-on guide, you'll learn how Apache Cassandra handles hundreds of terabytes of data while remaining highly available across multiple data centers -- capabilities that have attracted Facebook, Twitter, and other data-intensive companies. Cassandra: The Definitive Guide provides the technical details and practical examples you need to assess this database management system and put it to work in a production environment. Author Eben Hewitt demonstrates the advantages of Cassandra's nonrelational design, and pays special attention to data modeling. If you're a developer, DBA, application architect, or manager looking to solve a database scaling issue or future-proof your application, this guide shows you how to harness Cassandra's speed and flexibility. Understand the tenets of Cassandra's column-oriented structure Learn how to write, update, and read Cassandra data Discover how to add or remove nodes from the cluster as your application requires Examine a working application that translates from a relational model to Cassandra's data model Use examples for writing clients in Java, Python, and C# Use the JMX interface to monitor a cluster's usage, memory patterns, and more Tune memory settings, data storage, and caching for better performance
Cassandra: The Definitive Guide
by Eben Hewitt Jeff CarpenterImagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition--updated for Cassandra 3.0--provides the technical details and practical examples you need to put this database to work in a production environment.Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's non-relational design, with special attention to data modeling. If you're a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra's speed and flexibility.Understand Cassandra's distributed and decentralized structureUse the Cassandra Query Language (CQL) and cqlsh--the CQL shellCreate a working data model and compare it with an equivalent relational modelDevelop sample applications using client drivers for languages including Java, Python, and Node.jsExplore cluster topology and learn how nodes exchange dataMaintain a high level of performance in your clusterDeploy Cassandra on site, in the Cloud, or with DockerIntegrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
Casual Game Design: Designing Play for the Gamer in ALL of Us
by Gregory TrefryFrom Windows Solitaire to Bejeweled to Wii Tennis, casual games have radically changed the landscape of games. By simplifying gameplay and providing quick but intense blasts of engaging play, casual games have drawn in huge new audiences of players. To entertain and engage the casual player, game designers must learn to think about what makes casua
Catalog of the Heteroptera or True Bugs, of Canada and the Continental United States
by Thomas J. HenryA primary aim of this catalog is to offer an accounting for each species as originally proposed and for the first usage only of all its name combinations (including valid names, synonymies, and misspellings) that have been published for our area. We follow the policy outlined by the 1985 Code of Zoological Nomenclature for nonmenclatorial proposes that a dissertation for an advanced educational degree is not published unless it satisfies the criteria present in Articles 8 and 9.
Catalyst
by Jonathan RockwayThis book will guide you through the features of Catalyst using real-world examples and systematic code snippets. This book is for web developers with basic Perl skills who are new to Catalyst. If you are excited by Ruby on Rails but would like the features of Rails with the familiarity of Perl, pick this book and get started.