Design and Implementation of Data Mining Tools

ISBN: 9780367385552 出版年：2009 页码：276 Thuraisingham, Bhavani Khan, Latifur Awad, Mamoun Auerbach Publications

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 Dempster-Shafer for Evidence Combination Dempster's Rule for Evidence Combination Using Dempster-Shafer 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 Management Systems: Developments and Trends Overview Developments in Database Systems Status, Vision, and Issues Data Management Systems Framework Building Information Systems from the Framework Relationship between the Texts Summary and Directions Index References appear at the end of each chapter.