Intelligent Text Categorization And Clustering

Author : Felipe M. G. França
Publisher : Springer Science & Business Media
ISBN 13 : 3540856439
Total Pages : 128 pages
Book Rating : 4.36/5 ( download)

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Download or read book Intelligent Text Categorization and Clustering written by Felipe M. G. França and published by Springer Science & Business Media. This book was released on 2008-10-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.

Author : Felipe M. G. França
Publisher : Springer
ISBN 13 : 3540856447
Total Pages : 128 pages
Book Rating : 4.43/5 ( download)

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Download or read book Intelligent Text Categorization and Clustering written by Felipe M. G. França and published by Springer. This book was released on 2008-09-09 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.

Author : Ashok N. Srivastava
Publisher : CRC Press
ISBN 13 : 1420059459
Total Pages : 330 pages
Book Rating : 4.58/5 ( download)

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Download or read book Text Mining written by Ashok N. Srivastava and published by CRC Press. This book was released on 2009-06-15 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify te

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
ISBN 13 : 1461432235
Total Pages : 527 pages
Book Rating : 4.34/5 ( download)

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Download or read book Mining Text Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2012-02-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Author : Sabu M. Thampi
Publisher : Springer Science & Business Media
ISBN 13 : 3319017780
Total Pages : 461 pages
Book Rating : 4.85/5 ( download)

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Download or read book Recent Advances in Intelligent Informatics written by Sabu M. Thampi and published by Springer Science & Business Media. This book was released on 2013-07-30 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Symposium on Intelligent Informatics (ISI 2013) held in Mysore, India during August 23-24, 2013. The 47 revised papers presented were carefully reviewed and selected from 126 initial submissions. The papers are organized in topical sections on pattern recognition, signal and image processing; data mining, clustering and intelligent information systems; multi agent systems; and computer networks and distributed systems. The book is directed to the researchers and scientists engaged in various fields of intelligent informatics.

Author : De-Shuang Huang
Publisher : Springer Science & Business Media
ISBN 13 : 364225943X
Total Pages : 751 pages
Book Rating : 4.32/5 ( download)

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Download or read book Advanced Intelligent Computing Theories and Applications written by De-Shuang Huang and published by Springer Science & Business Media. This book was released on 2012-01-03 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on intelligent computing in scheduling; local feature descriptors for image processing and recognition; combinatorial and numerical optimization; machine learning theory and methods; intelligent control and automation; knowledge representation/reasoning and expert systems; intelligent computing in pattern recognition; intelligent computing in image processing; intelligent computing in computer vision; biometrics with applications to individual security/forensic sciences; modeling, theory, and applications of positive systems; sparse manifold learning methods and applications; advances in intelligent information processing.

Author : Michael W. Berry
Publisher : Springer Science & Business Media
ISBN 13 : 9780387955636
Total Pages : 272 pages
Book Rating : 4.31/5 ( download)

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Download or read book Survey of Text Mining written by Michael W. Berry and published by Springer Science & Business Media. This book was released on 2003-09-09 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.

Author : Chengqing Zong
Publisher : Springer Nature
ISBN 13 : 9811601003
Total Pages : 363 pages
Book Rating : 4.02/5 ( download)

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Download or read book Text Data Mining written by Chengqing Zong and published by Springer Nature. This book was released on 2021-05-22 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview. Written by three leading experts, it is valuable both as a textbook and as a reference resource for students, researchers and practitioners interested in text data mining. It can also be used for classes on text data mining or NLP.

Author : A. Zanasi
Publisher : WIT Press
ISBN 13 : 1845641310
Total Pages : 369 pages
Book Rating : 4.13/5 ( download)

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Download or read book Text Mining and its Applications to Intelligence, CRM and Knowledge Management written by A. Zanasi and published by WIT Press. This book was released on 2007-09-30 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations generate and collect large volumes of textual data. Unfortunately, many companies are unable to capitalize fully on the value of this data because information implicit within it is not easy to discern. Primarily intended for business analysts and statisticians across multiple industries, this book provides an introduction to the types of problems encountered and current available text mining solutions.

Author : Abraham Kandel
Publisher : World Scientific
ISBN 13 : 981256540X
Total Pages : 205 pages
Book Rating : 4.02/5 ( download)

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Download or read book Data Mining in Time Series Databases written by Abraham Kandel and published by World Scientific. This book was released on 2004 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings. Theproblem of detecting changes in data mining models that are inducedfrom temporal databases is additionally discussed.