Data mining and data visualization. (2005)

• Record Type: Book
• Further Information: Note: Edited by C.R. Rao, E.J. Wegman, J.L. Solka.
• Editors: Rao, C. Radhakrishna (Calyampudi Radhakrishna), 1920-; Wegman, Edward J, 1943-; Solka, Jeffrey L, 1955-
• Contents: Cover -- front cover -- copyright -- Table of contents -- Preface -- Contributors -- 1. Statistical Data Mining -- Introduction 1 -- Computational complexity -- The computer science roots of data mining -- Data preparation -- Databases -- Statistical methods for data mining -- Visual data mining -- Streaming data -- A final word -- Acknowledgements 1 -- References 1 -- 2. From Data Mining to Knowledge Mining -- Introduction 2 -- Knowledge generation operators -- Discovering rules and patterns via AQ learning -- Types of problems in learning from examples -- Clustering of entities into conceptually meaningful categories -- Automated improvement of the search space: constructive induction -- Reducing the amount of data: selecting representative examples -- Integrating qualitative and quantitative methods of numerical discovery -- Predicting processes qualitatively -- Knowledge improvement via incremental learning -- Summarizing the logical data analysis approach -- Strong patterns vs. complete and consistent rules -- Ruleset visualization via concept association graphs -- Integration of knowledge generation operators -- Summary 2 -- Acknowledgements 2 -- References 2 -- 3. Mining Computer Securitycomputer security Data -- Introduction 3 -- Basic TCP/IP -- Overview of networking -- The threat -- Probes and scans -- Denial of service attacks -- Gaining access -- Network monitoring -- TCP sessions -- Signatures versus anomalies -- User profiling -- Program profiling -- Conclusions 3 -- References 3 -- 4. Data Mining of Text Files -- 4. Introduction and background -- Natural language processing at the word and sentence level -- Hidden Markov models -- Probabilistic context-free grammars -- Word sense disambiguation -- Approaches beyond the word and sentence level -- Information retrieval -- Other approaches -- Summary 4 -- References 4 -- 5. Text Data Mining with Minimal Spanning Trees -- Introduction 5 -- Approach -- Results 5 -- Datasets -- Feature extraction -- Automated serendipity extraction on the Science News data set with no user driven focus of attention -- Automated serendipity extraction on the ONR ILIR data set with no user driven focus of attention -- Automated serendipity extraction on the Science News data set with user driven focus of attention -- Clustering results on the ONR ILIR dataset -- Clustering results on the Science News dataset -- Conclusions 5 -- Acknowledgements 5 -- References 5 -- 6. Information Hiding: Steganography and Steganalysis -- Introduction 6 -- Image formats -- Steganography -- Embedding by modifying carrier bits -- Embedding using pairs of values -- Steganalysis -- Relationship of steganography to watermarking -- Literature survey -- Conclusions 6 -- References 6 -- 7. Canonical Variate Analysis and Related Methods for Reduction of Dimensionality and Graphical Representation -- Introduction 7 -- Canonical coordinates -- Mahalanobis space.
• Publisher Details: Amsterdam San Diego, CA : Elsevier North Holland
• Publication Date: 2005
• Extent: 1 online resource (xiv, 643 pages), illustrations (some color), maps
• Subjects: 005.74; Data mining; Data mining -- Statistical methods; Exploration de données (Informatique); Exploration de données (Informatique) -- Méthodes statistiques; COMPUTERS -- Desktop Applications -- Databases; COMPUTERS -- Database Management -- General; COMPUTERS -- System Administration -- Storage & Retrieval; Exploration de données; Méthode statistique; Visualisation; Statistiek; Data mining; Electronic books
• Languages: English
• ISBNs: 0080459404; 9780080459400; 9780444511416; 0444511415
• Related ISBNs: 0444511415
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.