Advanced Methods For Knowledge Discovery From Complex Data

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Advanced Methods For Knowledge Discovery From Complex Data

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Author : Ujjwal Maulik
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-06

Advanced Methods For Knowledge Discovery From Complex Data written by Ujjwal Maulik 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 2006-05-06 with Computers categories.

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 followingchapters.

Advanced Methods For Knowledge Discovery From Complex Data

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Author : Ujjwal Maulik
language : en
Publisher: Springer
Release Date : 2005-11-09

Advanced Methods For Knowledge Discovery From Complex Data written by Ujjwal Maulik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-09 with Computers categories.

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.

Mathematical Methods For Knowledge Discovery And Data Mining

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Author : Giovanni Felici
language : en
Publisher: IGI Global Snippet
Release Date : 2008

Mathematical Methods For Knowledge Discovery And Data Mining written by Giovanni Felici and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.

Annotation The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance measurement, and telecommunications.

The British National Bibliography

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Author : Arthur James Wells
language : en
Publisher:
Release Date : 2006

The British National Bibliography written by Arthur James Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Bibliography, National categories.

Memoirs Of The Institute Of Scientific And Industrial Research Osaka University

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Author : Ōsaka Daigaku. Sangyō Kagaku Kenkyūjo
language : en
Publisher:
Release Date : 2016

Memoirs Of The Institute Of Scientific And Industrial Research Osaka University written by Ōsaka Daigaku. Sangyō Kagaku Kenkyūjo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Science categories.

Data Science Learning By Latent Structures And Knowledge Discovery

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Author : Berthold Lausen
language : en
Publisher: Springer
Release Date : 2015-05-06

Data Science Learning By Latent Structures And Knowledge Discovery written by Berthold Lausen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-06 with Mathematics categories.

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

Proceedings Of The Ieee Conference On Visualization

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Author :
language : en
Publisher:
Release Date : 1990

Proceedings Of The Ieee Conference On Visualization written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computer graphics categories.

Database Systems For Advanced Applications

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Author :
language : en
Publisher:
Release Date : 2005

Database Systems For Advanced Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Database design categories.

Mechanical And Electronics Engineering Iii

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Author : Han Zhao
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-10-27

Mechanical And Electronics Engineering Iii written by Han Zhao and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-27 with Technology & Engineering categories.

Selected, peer reviewed papers from the 2011 3rd International Conference on Mechanical and Electronics Engineering (ICMEE 2011), September 23-25, 2011, Hefei, China

Advanced Methods And Tools For Ecg Data Analysis

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Author : Gari D. Clifford
language : en
Publisher: Artech House Publishers
Release Date : 2006

Advanced Methods And Tools For Ecg Data Analysis written by Gari D. Clifford and has been published by Artech House Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

This practical book is the first one-stop resource to offer a thorough, up-to-date treatment of the techniques and methods used in electrocardiogram (ECG) data analysis, from fundamental principles to the latest tools in the field. The book places emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques.