Description: Foundations of Intelligent Systems by Mohand-Said Hacid, Zbigniew W. Ras, Shusaku Tsumoto This book constitutes the refereed proceedings of the 15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005, held in Saratoga Springs, NY, USA in May 2005.The 69 revised full papers presented together with 2 invited papers were carefully reviewed and selected from close to 200 submissions. The papers are organized in topical sections on knowledge discovery and data mining, intelligent information systems, information and knowledge integration, soft computing, clustering, Web data processing, AI logics, applications, intelligent information retrieval, and knowledge representation. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book constitutes the refereed proceedings of the 15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005, held in Saratoga Springs, NY, USA in May 2005. The 69 revised full papers presented together with 2 invited papers were carefully reviewed and selected from close to 200 submissions. The papers are organized in topical sections on knowledge discovery and data mining, intelligent information systems, information and knowledge integration, soft computing, clustering, Web data processing, AI logics, applications, intelligent information retrieval, and knowledge representation. Table of Contents Invited Papers.- Methodologies for Automated Telephone Answering.- Anomaly Detection in Computer Security and an Application to File System Accesses.- Regular Papers.- A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries.- Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling.- Learning Profiles Based on Hierarchical Hidden Markov Model.- Statistical Independence from the Viewpoint of Linear Algebra.- Bitmap Index-Based Decision Trees.- On Automatic Modeling and Use of Domain-Specific Ontologies.- Using Self-Adaptable Probes for Dynamic Parameter Control of Parallel Evolutionary Algorithms.- Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble.- Mining the Semantic Web: A Logic-Based Methodology.- Analysis of Textual Data with Multiple Classes.- SARM — Succinct Association Rule Mining: An Approach to Enhance Association Mining.- Learning the Daily Model of Network Traffic.- ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams.- Failing Queries in Distributed Autonomous Information System.- Evaluation of Two Systems on Multi-class Multi-label Document Classification.- Uncertain Knowledge Gathering: An Evolutionary Approach.- Duality in Knowledge Compilation Techniques.- Data Protection in Distributed Database Systems.- A Softened Formulation of Inductive Learning and Its Use for Coronary Disease Data.- Subsystem Based Generalizations of Rough Set Approximations.- Model-Based Cluster Analysis for Web Users Sessions.- On Autonomous k-Means Clustering.- CSI: Clustered Segment Indexing for Efficient Approximate Searching on the Secondary Structure of Protein Sequences.- Using Supervised Clustering to Enhance Classifiers.-Modelling Good Entry Pages on the Web.- A Query Expression and Processing Technique for an XML Search Engine.- Adapting the Object Role Modelling Method for Ontology Modelling.- Identifying Content Blocks from Web Documents.- Building the Data Warehouse of Frequent Itemsets in the DWFIST Approach.- Normal Forms for Knowledge Compilation.- On the Approximate Division of Fuzzy Relations.- Efficient Learning of Pseudo-Boolean Functions from Limited Training Data.- Discovering Partial Periodic Sequential Association Rules with Time Lag in Multiple Sequences for Prediction.- Mining and Filtering Multi-level Spatial Association Rules with ARES.- Association Reducts: A Framework for Mining Multi-attribute Dependencies.- Frequent Pattern Mining with Preferences–Utility Functions Approach.- Semantic-Based Access to Digital Document Databases.- Statistical Database Modeling for Privacy Preserving Database Generation.- Scalable Inductive Learning on Partitioned Data.- Agent-Based Home Simulation and Control.- Aggregates and Preferences in Logic Programming.- The Chisholm Paradox and the Situation Calculus.- A Logic Approach for LTL System Modification.- Anticipatory Agents Based on Anticipatory Reasoning.- Extracting Emotions from Music Data.- An Intelligent System for Assisting Elderly People.- Multi-strategy Instance Selection in Mining Chronic Hepatitis Data.- A Probabilistic Approach to Finding Geometric Objects in Spatial Datasets of the Milky Way.- Towards Ad-Hoc Rule Semantics for Gene Expression Data.- Flexible Pattern Discovery with (Extended) Disjunctive Logic Programming.- Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis.- Some Theoretical Properties of Mutual Information for Student Assessments in Intelligent Tutoring Systems.-Cooperative Query Answering for RDF.- Intelligent Information Retrieval for Web-Based Design Data Repository.- Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms.- A Distance-Based Algorithm for Clustering Database User Sessions.- User-Interest-Based Document Filtering via Semi-supervised Clustering.- A Filter Feature Selection Method for Clustering.- Automatic Determination of the Number of Fuzzy Clusters Using Simulated Annealing with Variable Representation.- Experimental Analysis of the Q-Matrix Method in Knowledge Discovery.- Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching.- Efficient Causal Interaction Learning with Applications in Microarray.- A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition.- Catching the Picospams.- Personalized Peer Filtering for a Dynamic Information Push.- Getting Computers to See Information Graphics So Users Do Not Have to.- A Data Model Based on Paraconsistent Intuitionistic Fuzzy Relations.- Logical Data Independence Reconsidered (Extended Abstract).- Estimation of the Density of Datasets with Decision Diagrams. Long Description This volume contains the papers selected for presentation at the 15th International S- posiumonMethodologiesforIntelligentSystems,ISMIS2005,heldinSaratogaSprings, NewYork,25-28May,2005. ThesymposiumwasorganizedbySUNYatAlbany. Itwas sponsored by the Army Research Ofce and by several units of the University at Albany including its Division for Research, College of Arts and Sciences, Department of C- puter Science, and Institute for Informatics, Logics, and Security Studies (formerly the Institute for Programming and Logics). ISMIS is a conference series that was started in 1986 in Knoxville, Tennessee. Since then it has been held in Charlotte (North Carolina), Knoxville(Tennessee),Turin(Italy),Trondheim(Norway),Warsaw(Poland),Zakopane (Poland), Lyon (France), and Maebashi City (Japan). The Program Committee selected the following major areas for ISMIS 2005: intelligent information systems, knowledge discovery and data mining, knowledge - formation and integration, knowledge representation, logic for articial intelligence, soft computing, Web intelligence, Web services, and papers dealing with applications of intelligent systems in complex/novel domains. The contributed papers were selected from almost 200 full draft papers by the Program Committee members: Troels Andreasen, Peter Baumgartner, Boualemn Benatallah, Salima Benbernou, Veronique Benzaken, Petr Berka, Elisa Bertino, Alan Biermann, Jacques Calmet, Sandra Carberry, Juan Carlos Cubero, Luigia Carlucci Aiello, Shu-Ching Chen, Christine Collet, Agnieszka Dardzinska, Ian Davidson, Robert Demolombe, Jitender Deogun, Jon Doyle, Tapio Elomaa, Attilio Giordana, Jerzy Grzymala-Busse,MirsadHadzikadic,ReinerHaehnle,JanuszKacprzyk,VipulKashyap, Jan Komorowski, Jacek Koronacki, Tsau Young Lin, Donato Malerba, David Maluf, Davide Martinenghi, Stan Matwin, Natasha Noy, Werner Nutt, James Peters, Jean-Marc Petit, Vijay Raghavan, Jan Rauch, Gilbert Ritschard, Erik Rosenthal, Marie-Christine Rousset, Nahid Shahmehri, Andrzej Skowron, Dominik Slezak, Nicolas Spyratos, V. S. Details ISBN3540258787 Short Title FOUNDATIONS OF INTELLIGENT SYS Language English ISBN-10 3540258787 ISBN-13 9783540258780 Media Book Format Paperback DEWEY 006.33 Series Number 3488 Author Shusaku Tsumoto Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany Pages 706 Edited by Shusaku Tsumoto Illustrations XIV, 706 p. Subtitle 15th International Symposium ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings DOI 10.1007/b136302 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 2005 ed. Year 2005 Edition 2005th Publication Date 2005-05-12 Audience Professional & Vocational Series Lecture Notes in Artificial Intelligence We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96263039;
Price: 220.33 AUD
Location: Melbourne
End Time: 2025-01-05T10:14:42.000Z
Shipping Cost: 31.03 AUD
Product Images
Item Specifics
Restocking fee: No
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
ISBN-13: 9783540258780
Book Title: Foundations of Intelligent Systems
Number of Pages: 706 Pages
Publication Name: Foundations of Intelligent Systems: 15th International Symposium ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings
Language: English
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2005
Type: Textbook
Item Weight: 2190 g
Author: Mohand-Said Hacid, Shusaku Tsumoto, Zbigniew W. Ras
Item Width: 155 mm
Format: Paperback
