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Foundations of Intelligent Systems

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Cover of 'Foundations of Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Methodologies for Automated Telephone Answering
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    Chapter 2 Anomaly Detection in Computer Security and an Application to File System Accesses
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    Chapter 3 A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
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    Chapter 4 Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling
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    Chapter 5 Learning Profiles Based on Hierarchical Hidden Markov Model
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    Chapter 6 Statistical Independence from the Viewpoint of Linear Algebra
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    Chapter 7 Bitmap Index-Based Decision Trees
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    Chapter 8 On Automatic Modeling and Use of Domain-Specific Ontologies
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    Chapter 9 Using Self-Adaptable Probes for Dynamic Parameter Control of Parallel Evolutionary Algorithms
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    Chapter 10 Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble
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    Chapter 11 Mining the Semantic Web: A Logic-Based Methodology
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    Chapter 12 Analysis of Textual Data with Multiple Classes
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    Chapter 13 SARM — Succinct Association Rule Mining: An Approach to Enhance Association Mining
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    Chapter 14 Learning the Daily Model of Network Traffic
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    Chapter 15 ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams
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    Chapter 16 Failing Queries in Distributed Autonomous Information System
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    Chapter 17 Evaluation of Two Systems on Multi-class Multi-label Document Classification
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    Chapter 18 Uncertain Knowledge Gathering: An Evolutionary Approach
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    Chapter 19 Duality in Knowledge Compilation Techniques
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    Chapter 20 Data Protection in Distributed Database Systems
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    Chapter 21 A Softened Formulation of Inductive Learning and Its Use for Coronary Disease Data
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    Chapter 22 Subsystem Based Generalizations of Rough Set Approximations
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    Chapter 23 Model-Based Cluster Analysis for Web Users Sessions
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    Chapter 24 On Autonomous k -Means Clustering
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    Chapter 25 CSI: Clustered Segment Indexing for Efficient Approximate Searching on the Secondary Structure of Protein Sequences
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    Chapter 26 Using Supervised Clustering to Enhance Classifiers
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    Chapter 27 Modelling Good Entry Pages on the Web
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    Chapter 28 A Query Expression and Processing Technique for an XML Search Engine
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    Chapter 29 Adapting the Object Role Modelling Method for Ontology Modelling
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    Chapter 30 Identifying Content Blocks from Web Documents
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    Chapter 31 Building the Data Warehouse of Frequent Itemsets in the DWFIST Approach
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    Chapter 32 Normal Forms for Knowledge Compilation
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    Chapter 33 On the Approximate Division of Fuzzy Relations
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    Chapter 34 Efficient Learning of Pseudo-Boolean Functions from Limited Training Data
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    Chapter 35 Discovering Partial Periodic Sequential Association Rules with Time Lag in Multiple Sequences for Prediction
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    Chapter 36 Mining and Filtering Multi-level Spatial Association Rules with ARES
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    Chapter 37 Association Reducts: A Framework for Mining Multi-attribute Dependencies
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    Chapter 38 Frequent Pattern Mining with Preferences–Utility Functions Approach
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    Chapter 39 Semantic-Based Access to Digital Document Databases
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    Chapter 40 Statistical Database Modeling for Privacy Preserving Database Generation
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    Chapter 41 Scalable Inductive Learning on Partitioned Data
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    Chapter 42 Agent-Based Home Simulation and Control
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    Chapter 43 Aggregates and Preferences in Logic Programming
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    Chapter 44 The Chisholm Paradox and the Situation Calculus
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    Chapter 45 A Logic Approach for LTL System Modification
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    Chapter 46 Anticipatory Agents Based on Anticipatory Reasoning
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    Chapter 47 Extracting Emotions from Music Data
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    Chapter 48 An Intelligent System for Assisting Elderly People
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    Chapter 49 Multi-strategy Instance Selection in Mining Chronic Hepatitis Data
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    Chapter 50 A Probabilistic Approach to Finding Geometric Objects in Spatial Datasets of the Milky Way
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    Chapter 51 Towards Ad-Hoc Rule Semantics for Gene Expression Data
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    Chapter 52 Flexible Pattern Discovery with (Extended) Disjunctive Logic Programming
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    Chapter 53 Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis
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    Chapter 54 Some Theoretical Properties of Mutual Information for Student Assessments in Intelligent Tutoring Systems
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    Chapter 55 Cooperative Query Answering for RDF
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    Chapter 56 Intelligent Information Retrieval for Web-Based Design Data Repository
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    Chapter 57 Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms
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    Chapter 58 A Distance-Based Algorithm for Clustering Database User Sessions
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    Chapter 59 User-Interest-Based Document Filtering via Semi-supervised Clustering
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    Chapter 60 A Filter Feature Selection Method for Clustering
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    Chapter 61 Automatic Determination of the Number of Fuzzy Clusters Using Simulated Annealing with Variable Representation
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    Chapter 62 Experimental Analysis of the Q-Matrix Method in Knowledge Discovery
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    Chapter 63 Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching
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    Chapter 64 Efficient Causal Interaction Learning with Applications in Microarray
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    Chapter 65 A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition
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    Chapter 66 Catching the Picospams
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    Chapter 67 Personalized Peer Filtering for a Dynamic Information Push
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    Chapter 68 Getting Computers to See Information Graphics So Users Do Not Have to
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    Chapter 69 A Data Model Based on Paraconsistent Intuitionistic Fuzzy Relations
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    Chapter 70 Logical Data Independence Reconsidered (Extended Abstract)
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    Chapter 71 Estimation of the Density of Datasets with Decision Diagrams
Attention for Chapter 7: Bitmap Index-Based Decision Trees
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Chapter title
Bitmap Index-Based Decision Trees
Chapter number 7
Book title
Foundations of Intelligent Systems
Published by
Springer, Berlin, Heidelberg, May 2005
DOI 10.1007/11425274_7
Book ISBNs
978-3-54-025878-0, 978-3-54-031949-8
Authors

Cécile Favre, Fadila Bentayeb, Favre, Cécile, Bentayeb, Fadila

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Other 1 17%
Librarian 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 7 117%