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Emerging Patterns


Emerging Patterns
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New Frontiers In Mining Complex Patterns


New Frontiers In Mining Complex Patterns
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Author : Annalisa Appice
language : en
Publisher: Springer
Release Date : 2013-03-25

New Frontiers In Mining Complex Patterns written by Annalisa Appice and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-25 with Computers categories.


This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mining rich (relational) datasets, mining complex patterns from miscellaneous data, mining complex patterns from trajectory and sequence data, and mining complex patterns from graphs and networks.



Exploiting The Power Of Group Differences


Exploiting The Power Of Group Differences
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Author : Guozhu Dong
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Exploiting The Power Of Group Differences written by Guozhu Dong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside of the computing discipline are also included. Emerging patterns (EPs) are useful in many ways. EPs can be used as features, as simple classifiers, as subpopulation signatures/characterizations, and as triggering conditions for alerts. EPs can be used in gene ranking for complex diseases since they capture multi-factor interactions. The length of EPs can be used to detect anomalies, outliers, and novelties. Emerging/contrast pattern based methods for clustering analysis and outlier detection do not need distance metrics, avoiding pitfalls of the latter in exploratory analysis of high dimensional data. EP-based classifiers can achieve good accuracy even when the training datasets are tiny, making them useful for exploratory compound selection in drug design. EPs can serve as opportunities in opportunity-focused boosting and are useful for constructing powerful conditional ensembles. EP-based methods often produce interpretable models and results. In general, EPs are useful for classification, clustering, outlier detection, gene ranking for complex diseases, prediction model analysis and improvement, and so on. EPs are useful for many tasks because they represent group differences, which have extraordinary power. Moreover, EPs represent multi-factor interactions, whose effective handling is of vital importance and is a major challenge in many disciplines. Based on the results presented in this book, one can clearly say that patterns are useful, especially when they are linked to issues of interest. We believe that many effective ways to exploit group differences' power still remain to be discovered. Hopefully this book will inspire readers to discover such new ways, besides showing them existing ways, to solve various challenging problems.



Transactions On Rough Sets Xiii


Transactions On Rough Sets Xiii
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Author : Chien-Chung Chan
language : en
Publisher: Springer
Release Date : 2011-01-28

Transactions On Rough Sets Xiii written by Chien-Chung Chan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-28 with Computers categories.


The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XIII contains 14 papers which introduce a number of new advances in both the foundations and the applications of rough sets. These are mathematical structures of generalized rough sets in infinite universes, approximations of arbitrary binary relations, and attribute reduction in decision-theoretic rough sets. Methodological advances introduce rough set-based and hybrid methodologies for learning theory, attribution reduction, decision analysis, risk assessment, and data mining tasks such as classification and clustering. In addition, this volume contains regular articles on mining temporal software metrics data, C-GAME discretization method, perceptual tolerance intersection as an example of a near set operation and compression of spatial data with quadtree structures.



Recent Progress In Data Engineering And Internet Technology


Recent Progress In Data Engineering And Internet Technology
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Author : Ford Lumban Gaol
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-13

Recent Progress In Data Engineering And Internet Technology written by Ford Lumban Gaol and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-13 with Computers categories.


The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical. Internet technology and data engineering should reinforce efficiency and effectiveness of business processes. These technologies should help people make better and more accurate decisions by presenting necessary information and possible consequences for the decisions. Intelligent information systems should help us better understand and manage information with ubiquitous data repository and cloud computing. This book is a compilation of some recent research findings in Internet Technology and Data Engineering. This book provides state-of-the-art accounts in computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.



Advances In Computing Science Asian 2000


Advances In Computing Science Asian 2000
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Author : Jifeng He
language : en
Publisher: Springer
Release Date : 2003-07-31

Advances In Computing Science Asian 2000 written by Jifeng He and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Computers categories.


The Asian Computing Science Conference (ASIAN) series was initiated in 1995 to provide a forum for researchers in computer science in Asia to meet and to promote interaction with researchers from other regions. The previous ?ve conferences were held, respectively, in Bangkok, Singapore, Kathmandu, Manila, and Phuket. The proceedings were published in the Lecture Notes in Computer Science Series of Springer-Verlag. This year’s conference (ASIAN2000) attracted 61 submissions from which 18 papers were selected through an electronic program committee (PC) meeting. The themes for this year’s conference are: – Logics in Computer Science – Data Mining – Networks and Performance The key note speaker for ASIAN2000 is Jean Vuillemin (ENS, France) and the invited speakers are Ramamohanarao Kotagiri (U. Melbourne, Australia) and Alain Jean-Marie (LIRMM, France). We thank them for accepting our - vitation. This year’s conference is sponsored by the Asian Institute of Technology (Thailand), INRIA (France), the National University of Singapore (Singapore), and UNU/IIST (Macau SAR, China). We thank all these institutions for their continued support of the ASIAN series. This year’s conference will be held in Penang, Malaysia. We are much obliged to Universiti Sains Malaysia and Penang State Government for providing the conference venue and to Dr. Abdullah Zawawi Haji Talib for making the local arrangements. We also wish to thank the PC members and the large number of referees for thesubstantialworkputinbytheminassessingthesubmittedpapers.



Principles Of Data Mining And Knowledge Discovery


Principles Of Data Mining And Knowledge Discovery
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Author : Tapio Elomaa
language : en
Publisher: Springer
Release Date : 2003-08-02

Principles Of Data Mining And Knowledge Discovery written by Tapio Elomaa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.


This book constitutes the refereed proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2002, held in Helsinki, Finland in August 2002. The 39 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are kernel methods, probabilistic methods, association rule mining, rough sets, sampling algorithms, pattern discovery, web text mining, meta data clustering, rule induction, information extraction, dependency detection, rare class prediction, classifier systems, text classification, temporal sequence analysis, unsupervised learning, time series analysis, medical data mining, etc.



Supervised Descriptive Pattern Mining


Supervised Descriptive Pattern Mining
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Author : Sebastián Ventura
language : en
Publisher: Springer
Release Date : 2018-10-05

Supervised Descriptive Pattern Mining written by Sebastián Ventura and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Computers categories.


This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features). This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook.



Advances In Knowledge Discovery And Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Thanaruk Theeramunkong
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-20

Advances In Knowledge Discovery And Data Mining written by Thanaruk Theeramunkong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-20 with Computers categories.


This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.



Computational Linguistics And Intelligent Text Processing


Computational Linguistics And Intelligent Text Processing
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Author : Alexander Gelbukh
language : en
Publisher: Springer
Release Date : 2012-03-06

Computational Linguistics And Intelligent Text Processing written by Alexander Gelbukh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-06 with Computers categories.


This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications.



Advances In Pattern Recognition


Advances In Pattern Recognition
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Author : José Francisco Martínez-Trinidad
language : en
Publisher: Springer
Release Date : 2010-12-22

Advances In Pattern Recognition written by José Francisco Martínez-Trinidad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-22 with Computers categories.


Annotation. This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.