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Database Support For Data Mining Applications


Database Support For Data Mining Applications
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Database Support For Data Mining Applications


Database Support For Data Mining Applications
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Author : Rosa Meo
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-07-28

Database Support For Data Mining Applications written by Rosa Meo 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 2004-07-28 with Computers categories.


Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling. The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.



Database Support For Data Mining Applications


Database Support For Data Mining Applications
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Author : Rosa Meo
language : en
Publisher:
Release Date : 2014-09-11

Database Support For Data Mining Applications written by Rosa Meo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-11 with categories.




Data Mining For Business Applications


Data Mining For Business Applications
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Author : Longbing Cao
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-10-03

Data Mining For Business Applications written by Longbing Cao 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 2008-10-03 with Computers categories.


Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.



Developing Multi Database Mining Applications


Developing Multi Database Mining Applications
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Author : Animesh Adhikari
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-14

Developing Multi Database Mining Applications written by Animesh Adhikari 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 2010-06-14 with Computers categories.


Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application. Thus the efficiency of a multi-database mining application could be enhanced by choosing an appropriate multi-database mining model, an appropriate pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.



Introduction To Data Mining And Its Applications


Introduction To Data Mining And Its Applications
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Author : S. Sumathi
language : en
Publisher: Springer
Release Date : 2006-10-12

Introduction To Data Mining And Its Applications written by S. Sumathi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-12 with Computers categories.


This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.



Inductive Databases And Constraint Based Data Mining


Inductive Databases And Constraint Based Data Mining
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Author : Sašo Džeroski
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-18

Inductive Databases And Constraint Based Data Mining written by Sašo Džeroski 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 2010-11-18 with Computers categories.


This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.



Handbook Of Statistical Analysis And Data Mining Applications


Handbook Of Statistical Analysis And Data Mining Applications
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Author : Ken Yale
language : en
Publisher: Elsevier
Release Date : 2017-11-09

Handbook Of Statistical Analysis And Data Mining Applications written by Ken Yale and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-09 with Mathematics categories.


Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications



Recent Advances In Soft Computing


Recent Advances In Soft Computing
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Author : Radek Matoušek
language : en
Publisher: Springer
Release Date : 2017-05-20

Recent Advances In Soft Computing written by Radek Matoušek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-20 with Technology & Engineering categories.


This proceeding book contains a collection of selected accepted papers of the Mendel conference held in Brno, Czech Republic in June 2016. The proceedings book contains three chapters which present recent advances in soft computing including intelligent image processing. The Mendel conference was established in 1995 and is named after the scientist and Augustinian priest Gregor J. Mendel who discovered the famous Laws of Heredity. The main aim of the conference is to create a regular possibility for students, academics and researchers to exchange ideas and novel research methods on a yearly basis.



Introduction To Data Mining And Its Applications


Introduction To Data Mining And Its Applications
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Author : S. Sumathi
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-26

Introduction To Data Mining And Its Applications written by S. Sumathi 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 2006-09-26 with Computers categories.


This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.



Advances In Spatial And Temporal Databases


Advances In Spatial And Temporal Databases
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Author : Nikos Mamoulis
language : en
Publisher: Springer
Release Date : 2009-06-30

Advances In Spatial And Temporal Databases written by Nikos Mamoulis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-30 with Computers categories.


SSTD 2009 was the 11th in a series of biannual events that discuss new and exciting research in spatio-temporal data management and related technologies. PrevioussymposiaweresuccessfullyheldinSantaBarbara(1989),Zurich(1991), Singapore (1993), Portland (1995), Berlin (1997), Hong Kong (1999), Los An- les (2001), Santorini, Greece (2003), Angra dos Reis, Brazil (2005), and Boston (2007). Before 2001, the series was devoted solely to spatial database mana- ment, and called SSD. From 2001, the scope was extended in order to also accommodate temporal database management, in part due to the increasing importance of research that considers spatial and temporal aspects jointly. SSTD2009introducedseveralinnovativeaspectscomparedtopreviousevents. There was a demonstrations track which included ten presentations of systems related to the topics of interest. In addition to that, the event included a poster session with seven presentations of innovative research developed at an early stage. For the ?rst time in the SSTD series, the best paper of the symposium was awarded and a few high-quality papers were selected and the authors were invited to submit extended versionsof their work to a special issue of the Geo- formatica journal (Springer). Prior to the symposium, there was a two-day - vanced seminar, which hosted three half-day tutorials on state-of-the-art topics within spatio-temporal data management, held by distinguished international researchers.