Design and Implementation of Data Mining Tools

• Main Authors: Thuraisingham, Bhavani, Khan, Latifur, Awad, Mamoun, Wang, Lei
• Format: eBook Book
• Language: English
• Published: Boca Raton, Fla Auerbach Publications 2009; CRC Press; Auerbach Publishers, Incorporated
• Edition: 1
• Subjects: Data mining; Www Prediction; Automatic Image Annotation; Image Annotation; Data Mining; SVM; Markov Model; Image Classification; Data Mining Tool; KNN Classifier; Botnet Detection; Data Mining Techniques; Web Data Management; Subspace Clustering Algorithm; Multimedia Data; Intrusion Detection; Association Rule Mining; Malicious Code Detection; RBF Kernel; Web Data Mining; Web Usage Mining; MIT Lincoln Lab; SVM Training; Dempster’s Rule; Mine Multimedia Data; Subspace Clustering
• ISBN: 1420045903; 9781420045901
• DOI: 10.1201/9781420045918

Based on the authors' own research work, this book explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Focusing on three applications of data mining, the book takes a practical approach to the subject. A hands-on guide, it 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.