Information And Classification
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IT Governance
"This new edition of a unique handbook is fully updated for the latest regulatory and technological developments. Containing the 2005 revisions to BS7799 and ISO17799, it guides business managers through the issues involved in achieving ISO certification in information Security Management and covers all aspects of data security." "Written by business managers for business managers, it is an essential resource to be used in organizations of all shapes and sizes, and particularly those with well-developed internal IT systems and those focussed on e-commerce."--Jacket.
Data Analysis, Classification, and Related Methods
Author: Henk A.L. Kiers
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This volume contains a selection of papers presented at the Seven~h Confer ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally sub mitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered suitable for publication in this book. The present book contains original research contributions, innovative ap plications and overview papers in various fields within data analysis, classifi cation, and related methods. Given the fast publication process, the research results are still up-to-date and coincide with their actual presentation at the IFCS-2000 conference. The topics captured are: • Cluster analysis • Comparison of clusterings • Fuzzy clustering • Discriminant analysis • Mixture models • Analysis of relationships data • Symbolic data analysis • Regression trees • Data mining and neural networks • Pattern recognition • Multivariate data analysis • Robust data analysis • Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientific information data analysis, classification, related methods, and their applica concerning tions.
Software Similarity and Classification
Author: Silvio Cesare
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-03-05
Software similarity and classification is an emerging topic with wide applications. It is applicable to the areas of malware detection, software theft detection, plagiarism detection, and software clone detection. Extracting program features, processing those features into suitable representations, and constructing distance metrics to define similarity and dissimilarity are the key methods to identify software variants, clones, derivatives, and classes of software. Software Similarity and Classification reviews the literature of those core concepts, in addition to relevant literature in each application and demonstrates that considering these applied problems as a similarity and classification problem enables techniques to be shared between areas. Additionally, the authors present in-depth case studies using the software similarity and classification techniques developed throughout the book.