Active mining : new directions of data mining / / edited by Hiroshi Motoda

• Pubblicazione: Amsterdam ; ; Washington, DC, : IOS Press; Tokyo, : Ohmsha, c2002
• Edizione: 1st ed.
• Descrizione fisica: x, 291 p. : ill
• Disciplina: 006.3/12
• Soggetto topico: Data mining
• Altri autori: MotodaHiroshi
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and author index.
• Nota di contenuto: Cover -- Title page -- Preface -- Acknowledgments -- Contents -- I. Data Collection -- Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources -- Data Mining on the WAVEs - Word-of-mouth-Assisting Virtual Environments -- Immune Network-based Clustering for WWW Information Gathering/Visualization -- Interactive Web Page Retrieval with Relational Learning-based Filtering Rules -- Monitoring Partial Update of Web Pages by Interactive Relational Learning -- Context-based Classification of Technical Terms Using Support Vector Machines -- Intelligent Tickers: An Information Integration Scheme for Active Information Gathering -- II. User Centered Mining -- Discovery of Concept Relation Rules Using an Incomplete Key Concept Dictionary -- Mining Frequent Substructures from Web -- Towards the Discovery of Web Communities from Input Keywords to a Search Engine -- Temporal Spatial Index Techniques for OLAP in Traffic Data Warehouse -- Knowledge Discovery from Structured Data by Beam-wise Graph-Based Induction -- PAGA Discovery: A Worst-Case Analysis of Rule Discovery for Active Mining -- Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set -- Fast Boosting Based on Iterative Data Squashing -- Reducing Crossovers in Reconciliation Graphs Using the Coupling Cluster Exchange Method with a Genetic Algorithm -- Outlier Detection using Cluster Discriminant Analysis -- III. User Reaction and Interaction -- Evidence-Based Medicine and Data Mining: Developing a Causal Model via Meta-Learning Methodology -- KeyGraph for Classifying Web Communities -- Case Generation Method for Constructing an RDR Knowledge Base -- Acquiring Knowledge from Both Human Experts and Accumulated Data in an Unstable Environment. ; Active Participation of Users with Visualizaiton Tools in the Knowledge Discovery Process -- The Future Direction of Active Mining in the Business World -- Topographical Expression of a Rule for Active Mining -- The Effect of Spatial Representation of Information on Decision Making in Purchase -- A Hybrid Approach of Multiscale Matching and Rough Clustering to Knowledge Discovery in Temporal Medical Databases -- Meta Analysis for Data Mining -- Author Index -- A -- B -- C -- F -- H -- I -- K -- M -- N -- O -- S -- T -- U -- W -- Y.
• Sommario/riassunto: Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences.
• Titolo autorizzato: Active mining
• ISBN: 600-00-0325-0; 9786610505555; 1-60129-400-X; 1-280-50555-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910820617103321
• Lo trovi qui: Univ. Federico II
• Serie: Frontiers in artificial intelligence and applications ; ; v. 79.; Frontiers in artificial intelligence and applications. . -Knowledge-based intelligent engineering systems ; ; v. 3.