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"Reliable knowledge discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a broad spectrum of applications, especially in critical domains like medicine, finance, and military."

"The volume is organized in three parts. Part I includes four chapters concerned with various aspects of data cube and ontology-based representations. Part II is composed of four chapters concerned with efficient pattern mining issues, while in part III the last four chapters address data preprocessing and Information retrieval."

"The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. The 32 contributions presented in this state-of-the-art volume together with a detailed introduction to the book are organized in topical sections on bisociation, representation and network creation, network analysis, exploration, and applications and evaluation."

"This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies, ETL methodologies and tools, multidimensional data processing and management, data warehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms."

"The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning, active, ensemble, rare-class and online, unsupervised learning, clustering, probabilistic modeling in the first volume and on pattern mining, networks, graphs, time-series and outlier detection, and data manipulation, pre-processing and dimension reduction in the second volume. "

"The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume."

"Mining frequent patterns in large transactional data bases is a highly researched area in the field of data mining

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"This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns, Bayesian learning and graphical models, classification, dimensionality reduction, feature selection and extraction, distance-based methods and kernels, ensemble methods, graph and tree mining, large-scale, distributed and parallel mining and learning, multi-relational mining and learning, multi-task learning, natural language processing, online learning and data streams, privacy and security, rankings and recommendations, reinforcement learning and planning, rule mining and subgroup discovery, semi-supervised and transductive learning, sensor data; sequence and string mining, social network mining, spatial and geographical data mining, statistical methods and evaluation, time series and temporal data mining, and transfer learning."