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Design and Implementation of Data Mining Tools - Thuraisingham, Bhavani; Khan, Latifur; Wang, Lei; Awad, Mamoun
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ISBN: 9781420045901

ID: 1446804

DATA MINING TECHNIQUES AND APPLICATIONS Introduction Trends Data Mining Techniques and Applications Data Mining for Cyber Security: Intrusion Detection Data Mining for Web: Web Page Surfing Prediction Data Mining for Multimedia: Image Classification Organization of This Book Next Steps Data Mining Techniques Introduction Overview of Data Mining Tasks and Techniques Artificial Neural Networks Support Vector Machines Markov Model Association Rule Mining (ARM) Multiclass Problem Image Mining Summary Data Mining Applications Introduction Intrusion Detection Web Page Surfing Prediction Image Classification Summary DATA MINING TOOL FOR INTRUSION DETECTION Data Mining for Security Applications Overview Data Mining for Cyber Security Current Research and Development Summary and Directions Dynamic Growing Self-Organizing Tree Algorithm Overview Our Approach DGSOT Discussion Summary and Directions Intrusion Detection Results Overview Dataset Results Complexity Validation Discussion Summary and Directions DATA MINING TOOL FOR WEB PAGE SURFING PREDICTION Web Data Management and Mining Overview Digital Libraries E-Commerce Technologies Semantic Web Technologies Web Data Mining Summary and Directions Effective Web Page Prediction Using Hybrid Model Overview Our Approach Feature Extraction Domain Knowledge and Classifier Reduction Summary Multiple Evidence Combination for WWW Prediction Overview Fitting a Sigmoid after SVM Fitting a Sigmoid after ANN Output DempsterShafer for Evidence Combination Dempster's Rule for Evidence Combination Using DempsterShafer Theory in WWW Prediction Summary and Directions WWW Prediction Results Overview Terminology Data Processing Experiment Setup Results Discussion Summary and Directions DATA MINING TOOL FOR IMAGE CLASSIFICATION Multimedia Data Management and Mining Overview Managing and Mining Multimedia Data Management and Mining Text, Image, Audio, and Video Data Summary and Directions Image Classification Models Overview Example Models Image Classification Summary Subspace Clustering and Automatic Image Annotation Introduction Proposed Automatic Image Annotation Framework The Vector Space Model Clustering Algorithm for Blob Token Generation Construction of the Probability Table AutoAnnotation Experimental Setup Evaluation Methods Results Summary Enhanced Weighted Feature Selection Introduction Aggressive Feature Weighting Algorithm Experiment Results Summary and Directions Image Classification and Performance Analysis Introduction Classifiers Evidence Theory and KNN Experiment Results Discussion Summary and Directions Summary and Directions Overview Summary of This Book Directions for Data Mining Tools Where Do We Go from Here Appendix: Data Mana Computers Computers eBook, CRC Press

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Design and Implementation of Data Mining Tools - Bhavani Thuraisingham, Latifur Khan, Lei Wang, Mamoun Awad
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Focusing on three applications of data mining, Design and Implementation of Data Mining Tools explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Mainly based on the authors’ own research work, the book takes a practical approach to the subject.The first part of the book reviews data mining techniques, such as artificial neural networks and support vector machines, as well as data mining applications. The second section covers the design and implementation of data mining tools for intrusion detection. It examines various designs and performance results, along with the strengths and weaknesses of the approaches. The third part presents techniques to solve the WWW prediction problem. The final part describes models that the authors have developed for image classification.Showing step by step how data mining tools are developed, this hands-on guide discusses the performance results, limitations, and unique contributions of data mining systems. It provides essential information for technologists to decide on the tools to select for a particular application, for developers to focus on alternative designs if an approach is unsuitable, and for managers to choose whether to proceed with a data mining project. Textbooks New Books ~~ Computers~~ Databases ~~ General Design-and-Implementation-of-Data-Mining-Tools~~Bhavani-Thuraisingham Taylor & Francis Design and Implementation of Data Mining Tools presents a step by step approach that demonstrates how data mining tools are developed. This book discusses intrusion detection for security application, web page prediction for e-commerce application, and image classification for multimedia application. It provides experimental performance results, examines unique contributions, and addresses limitations for each system. Additional coverage includes supporting technologies such as artificial neural networks, future directions for data mining applications, and data management systems. This text is a practical guide for the industry.

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Design and Implementation of Data Mining Tools - Awad, M.; Khan, Latifur; Thuraisingham, Bhavani
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Internationaler Buchtitel. In englischer Sprache. Verlag: AUERBACH PUBN, 250 Seiten, L=236mm, B=157mm, H=23mm, Gew.=612gr, [GR: 16370 - HC/Hardware], [SW: - Computers - Data Base Management], Gebunden, Klappentext: Design and Implementation of Data Mining Tools presents a step by step approach that demonstrates how data mining tools are developed. This book discusses intrusion detection for security application, web page prediction for e-commerce application, and image classification for multimedia application. It provides experimental performance results, examines unique contributions, and addresses limitations for each system. Additional coverage includes supporting technologies such as artificial neural networks, future directions for data mining applications, and data management systems. This text is a practical guide for the industry. Design and Implementation of Data Mining Tools presents a step by step approach that demonstrates how data mining tools are developed. This book discusses intrusion detection for security application, web page prediction for e-commerce application, and image classification for multimedia application. It provides experimental performance results, examines unique contributions, and addresses limitations for each system. Additional coverage includes supporting technologies such as artificial neural networks, future directions for data mining applications, and data management systems. This text is a practical guide for the industry.

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Design and Implementation of Data Mining Tools 1st Edition - Bhavani Thuraisingham
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Design and Implementation of Data Mining Tools 1st Edition Author :Bhavani Thuraisingham 9781420045901 1420045903, [PU: CRC Press]

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Design and Implementation of Data Mining Tools - Bhavani Thuraisingham; Mamoun Awad; Latifur Khan; Lei Wang
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Design and Implementation of Data Mining Tools

Design and Implementation of Data Mining Tools presents a step by step approach that demonstrates how data mining tools are developed. This book discusses intrusion detection for security application, web page prediction for e-commerce application, and image classification for multimedia application. It provides experimental performance results, examines unique contributions, and addresses limitations for each system. Additional coverage includes supporting technologies such as artificial neural networks, future directions for data mining applications, and data management systems. This text is a practical guide for the industry.

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EAN (ISBN-13): 9781420045901
ISBN (ISBN-10): 1420045903
Gebundene Ausgabe
Erscheinungsjahr: 2009
Herausgeber: AUERBACH PUBN
250 Seiten
Gewicht: 0,612 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 29.04.2008 23:50:25
Buch zuletzt gefunden am 19.11.2016 17:51:10
ISBN/EAN: 1420045903

ISBN - alternative Schreibweisen:
1-4200-4590-3, 978-1-4200-4590-1


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