Advances In Mining Graphs Trees And Sequences

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Advances in Mining Graphs, Trees and Sequences

Author : Takashi Washio
Publisher : IOS Press
ISBN 13 : 9781586035280
Total Pages : 224 pages
Book Rating : 4.0/5 (352 download)

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Book Synopsis Advances in Mining Graphs, Trees and Sequences by : Takashi Washio

Download or read book Advances in Mining Graphs, Trees and Sequences written by Takashi Washio and published by IOS Press. This book was released on 2005 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever since the early days of machine learning and data mining, it has been realized that the traditional attribute-value and item-set representations are too limited for many practical applications in domains such as chemistry, biology, network analysis and text mining. This has triggered a lot of research on mining and learning within alternative and more expressive representation formalisms such as computational logic, relational algebra, graphs, trees and sequences. The motivation for using graphs, trees and sequences. Is that they are 1) more expressive than flat representations, and 2) potentially more efficient than multi-relational learning and mining techniques. At the same time, the data structures of graphs, trees and sequences are among the best understood and most widely applied representations within computer science. Thus these representations offer ideal opportunities for developing interesting contributions in data mining and machine learning that are both theoretically well-founded and widely applicable. The goal of this book is to collect recent outstanding studies on mining and learning within graphs, trees and sequences in studies worldwide.

New Trends in Applied Artificial Intelligence

Author : Hiroshi G. Okuno
Publisher : Springer
ISBN 13 : 3540733256
Total Pages : 1198 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis New Trends in Applied Artificial Intelligence by : Hiroshi G. Okuno

Download or read book New Trends in Applied Artificial Intelligence written by Hiroshi G. Okuno and published by Springer. This book was released on 2007-07-18 with total page 1198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2007, held in Kyoto, Japan. Coverage includes text processing, fuzzy system applications, real-world interaction, data mining, machine learning chance discovery and social networks, e-commerce, heuristic search application systems, and other applications.

Mining Graph Data

Author : Diane J. Cook
Publisher : John Wiley & Sons
ISBN 13 : 0470073039
Total Pages : 501 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Mining Graph Data by : Diane J. Cook

Download or read book Mining Graph Data written by Diane J. Cook and published by John Wiley & Sons. This book was released on 2006-12-18 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you’ll be able to represent data as graphs, extract patterns and concepts from the data, and apply the methodologies presented in the text to real datasets. There is a misprint with the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or test their own ideas on graph data, the Web page for the book should be http://www.eecs.wsu.edu/MGD.

Practical Graph Mining with R

Author : Nagiza F. Samatova
Publisher : CRC Press
ISBN 13 : 143986084X
Total Pages : 498 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Practical Graph Mining with R by : Nagiza F. Samatova

Download or read book Practical Graph Mining with R written by Nagiza F. Samatova and published by CRC Press. This book was released on 2013-07-15 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from another, and the use of those patterns to predict the category of new graphs. Hands-On Application of Graph Data Mining Each chapter in the book focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through applications using real data sets, the book demonstrates how computational techniques can help solve real-world problems. The applications covered include network intrusion detection, tumor cell diagnostics, face recognition, predictive toxicology, mining metabolic and protein-protein interaction networks, and community detection in social networks. Develops Intuition through Easy-to-Follow Examples and Rigorous Mathematical Foundations Every algorithm and example is accompanied with R code. This allows readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in practice. The text also gives a rigorous, formal explanation of the underlying mathematics of each technique. Makes Graph Mining Accessible to Various Levels of Expertise Assuming no prior knowledge of mathematics or data mining, this self-contained book is accessible to students, researchers, and practitioners of graph data mining. It is suitable as a primary textbook for graph mining or as a supplement to a standard data mining course. It can also be used as a reference for researchers in computer, information, and computational science as well as a handy guide for data analytics practitioners.

Advanced Data Mining and Applications

Author : Ronghuai Huang
Publisher : Springer Science & Business Media
ISBN 13 : 3642033474
Total Pages : 826 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advanced Data Mining and Applications by : Ronghuai Huang

Download or read book Advanced Data Mining and Applications written by Ronghuai Huang and published by Springer Science & Business Media. This book was released on 2009-07-28 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Advanced Data Mining and Applications, ADMA 2009, held in Beijing, China, in August 2009. The 34 revised full papers and 47 revised short papers presented together with the abstract of 4 keynote lectures were carefully reviewed and selected from 322 submissions from 27 countries. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining and feature original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining.

Advances in Knowledge Discovery and Data Mining

Author : Takashi Washio
Publisher : Springer
ISBN 13 : 3540681256
Total Pages : 1102 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Takashi Washio

Download or read book Advances in Knowledge Discovery and Data Mining written by Takashi Washio and published by Springer. This book was released on 2008-05-11 with total page 1102 pages. Available in PDF, EPUB and Kindle. Book excerpt: ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. PAKDD 2008, the 12th in the series, was heldatOsaka,JapanduringMay20–23,2008.PAKDDisaleadinginternational conference in the area of data mining. It provides an international forum for - searchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD-related areas - cluding data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. This year we received a total of 312 research papers from 34 countries and regions in Asia, Australia, North America, South America, Europe, and Africa. Every submitted paper was rigorously reviewed by two or three reviewers, d- cussed by the reviewers under the supervision of an Area Chair, and judged by the Program Committee Chairs. When there was a disagreement, the Area Chair and/or the Program Committee Chairs provided an additional review. Thus, many submissions were reviewed by four experts. The Program Comm- tee members were deeply involved in a highly selective process. As a result, only approximately11.9%ofthe312submissionswereacceptedaslongpapers,12.8% of them were accepted as regular papers, and 11.5% of them were accepted as short papers.

Mining of Data with Complex Structures

Author : Fedja Hadzic
Publisher : Springer Science & Business Media
ISBN 13 : 3642175562
Total Pages : 340 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Mining of Data with Complex Structures by : Fedja Hadzic

Download or read book Mining of Data with Complex Structures written by Fedja Hadzic and published by Springer Science & Business Media. This book was released on 2011-01-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mining of Data with Complex Structures: - Clarifies the type and nature of data with complex structure including sequences, trees and graphs - Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining. - Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints. - Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.) - Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees. - Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees. - Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach. - Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies. - Details the extension of the TMG framework for sequence mining - Provides an overview of the future research direction with respect to technical extensions and application areas The primary audience is 3rd year, 4th year undergraduate students, Masters and PhD students and academics. The book can be used for both teaching and research. The secondary audiences are practitioners in industry, business, commerce, government and consortiums, alliances and partnerships to learn how to introduce and efficiently make use of the techniques for mining of data with complex structures into their applications. The scope of the book is both theoretical and practical and as such it will reach a broad market both within academia and industry. In addition, its subject matter is a rapidly emerging field that is critical for efficient analysis of knowledge stored in various domains.

Mining Complex Data

Author : Zbigniew W. Ras
Publisher : Springer
ISBN 13 : 3540684166
Total Pages : 265 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Mining Complex Data by : Zbigniew W. Ras

Download or read book Mining Complex Data written by Zbigniew W. Ras and published by Springer. This book was released on 2008-05-13 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.

XML Data Mining: Models, Methods, and Applications

Author : Tagarelli, Andrea
Publisher : IGI Global
ISBN 13 : 1613503571
Total Pages : 538 pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis XML Data Mining: Models, Methods, and Applications by : Tagarelli, Andrea

Download or read book XML Data Mining: Models, Methods, and Applications written by Tagarelli, Andrea and published by IGI Global. This book was released on 2011-11-30 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.

New Frontiers in Applied Data Mining

Author : Sanjay Chawla
Publisher : Springer Science & Business Media
ISBN 13 : 3642003982
Total Pages : 226 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis New Frontiers in Applied Data Mining by : Sanjay Chawla

Download or read book New Frontiers in Applied Data Mining written by Sanjay Chawla and published by Springer Science & Business Media. This book was released on 2009-02-16 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the PAKDD Workshops 2008, namely ALSIP 2008, DMDRM 2008, and IDM 2008. The workshops were held in conjunction with the PAKDD conference in Osaka, Japan, during May 20-23, 2008. The 17 papers presented were carefully reviewed and selected from 38 submissions. The International Workshop on Algorithms for Large-Sale Information Processing in Knowledge Discovery (ALSIP) focused on exchanging fresh ideas on large-scale data processing in the problems of data mining, clustering, machine learning, statistical analysis, and other computational aspects of knowledge discovery problems. The Workshop on Data Mining for Decision Making and Risk Management (DMDRM) covered data mining and machine learning approaches, statistical approaches, chance discovery, active mining and application of these techniques to medicine, marketing, security, decision support in business, social activities, human relationships, chemistry and sensor data. The Workshop on Interactive Data Mining Overview (IDM) discussed various interactive data mining researches such as interactive information retrieval, information gathering sysetms, personalization systems, recommendation systems, user interfaces.

Advanced Data Mining and Applications

Author : Jie Tang
Publisher : Springer
ISBN 13 : 3642258565
Total Pages : 419 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advanced Data Mining and Applications by : Jie Tang

Download or read book Advanced Data Mining and Applications written by Jie Tang and published by Springer. This book was released on 2011-12-15 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Jiuyong Li
Publisher : Springer
ISBN 13 : 3642403190
Total Pages : 556 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Jiuyong Li

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Jiuyong Li and published by Springer. This book was released on 2013-08-23 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).

Advanced Methods for Knowledge Discovery from Complex Data

Author : Ujjwal Maulik
Publisher : Springer Science & Business Media
ISBN 13 : 1846282845
Total Pages : 375 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Advanced Methods for Knowledge Discovery from Complex Data by : Ujjwal Maulik

Download or read book Advanced Methods for Knowledge Discovery from Complex Data written by Ujjwal Maulik and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.

Advances in Intelligent Data Analysis XVIII

Author : Michael R. Berthold
Publisher : Springer Nature
ISBN 13 : 3030445844
Total Pages : 601 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Advances in Intelligent Data Analysis XVIII by : Michael R. Berthold

Download or read book Advances in Intelligent Data Analysis XVIII written by Michael R. Berthold and published by Springer Nature. This book was released on 2020-04-22 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.

Logical and Relational Learning

Author : Luc De Raedt
Publisher : Springer Science & Business Media
ISBN 13 : 3540200401
Total Pages : 395 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Logical and Relational Learning by : Luc De Raedt

Download or read book Logical and Relational Learning written by Luc De Raedt and published by Springer Science & Business Media. This book was released on 2008-09-12 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Advances in Knowledge Discovery and Data Mining

Author : Joshua Zhexue Huang
Publisher : Springer Science & Business Media
ISBN 13 : 3642208460
Total Pages : 582 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Joshua Zhexue Huang

Download or read book Advances in Knowledge Discovery and Data Mining written by Joshua Zhexue Huang and published by Springer Science & Business Media. This book was released on 2011-05-09 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knoweldge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences

Author : Chee-Kit Looi
Publisher : IOS Press
ISBN 13 : 1586035738
Total Pages : 1024 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences by : Chee-Kit Looi

Download or read book Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences written by Chee-Kit Looi and published by IOS Press. This book was released on 2005 with total page 1024 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the basic principles that underpin the learning sciences is to improve theories of learning through the design of powerful learning environments that can foster meaningful learning. Learning sciences researchers prefer to research learning in authentic contexts. This book focuses on learning sciences in the Asia-Pacific context.