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Intelligent Information Processing and Web Mining

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Cover of 'Intelligent Information Processing and Web Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Mining Spatial Association Rules
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    Chapter 2 Modeling of the Form of Heliosphere and its Role on the Annual Variations of Galactic Cosmic Rays
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    Chapter 3 ADX Algorithm: a brief description of a rule based classifier
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    Chapter 4 Query Selectivity Estimation via Data Mining
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    Chapter 5 Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study
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    Chapter 6 On Admissible Substitutions in Classical and Intuitionistic Sequent Logics
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    Chapter 7 On Learning of Sunspot Classification
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    Chapter 8 Testing microarray analysis methods with semi-synthetic data
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    Chapter 9 A new algorithm to build consolidated trees: study of the error rate and steadiness
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    Chapter 10 Mining texts by association rules discovery in a technical corpus
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    Chapter 11 A Hybrid Approach to a Classification Problem
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    Chapter 12 Confusion Matrix Visualization
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    Chapter 13 Independent Component Analysis for Filtration in Data Mining
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    Chapter 14 State Assignment by Evolutionary Algorithms
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    Chapter 15 Coevolutionary feature construction for transformation of representation of machine learners
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    Chapter 16 Theory of Collective Intelligence provides formal relations between Intelligence, Life, and Evolution
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    Chapter 17 Application of evolutionary computing to conformational analysis
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    Chapter 18 A Novel Genetic Algorithm Based on Multi-Agent Systems
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    Chapter 19 Learning reversible categorial grammars from structures
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    Chapter 20 An Approach to Computational Morphology
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    Chapter 21 Semi-incremental Addition of Strings to a Cyclic Finite Automaton
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    Chapter 22 Semi-automatic stemmer evaluation
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    Chapter 23 Development of a Pediatric Text-Corpus for Part-of-Speech Tagging
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    Chapter 24 Information Extraction for Polish Using the SProUT Platform
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    Chapter 25 Towards the Design of a Syntactico-Semantic Lexicon for Polish
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    Chapter 26 Automatic utterance boundaries recognition in large Polish text corpora
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    Chapter 27 A Flexible Rule Compiler for Speech Synthesis
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    Chapter 28 A Practical Application of Morphological Analysis of Polish
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    Chapter 29 On-line Thematic and Metadata Analysis of Document Collection
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    Chapter 30 Analysis of priority and partitioning effects on web crawling performance
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    Chapter 31 Dynamization in IR Systems
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    Chapter 32 An Enhanced Semantic Indexing Implementation for Conceptual Information Retrieval
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    Chapter 33 Towards a More Realistic Web Graph Model
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    Chapter 34 Ontology As a Definition of Meaning
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    Chapter 35 Text Categorization using the Learning Vector Quantization Algorithm
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    Chapter 36 Semantic Web Services in L2L
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    Chapter 37 Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition
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    Chapter 38 Conceptual Clustering Using Lingo Algorithm: Evaluation on Open Directory Project Data
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    Chapter 39 What Can Be Learned from Previously Answered Questions? A Corpus-Based Approach to Question Answering
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    Chapter 40 Extensions of PageRank. The RBS Algorithm
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    Chapter 41 Visualizing large data by the SOM and GTM methods — what are we obtaining?
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    Chapter 42 AntSearch — a new search algorithm
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    Chapter 43 Trigram morphosyntactic tagger for Polish
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    Chapter 44 Natural Language Processing Using Generative Indirect Dependency Grammar
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    Chapter 45 Automatic Text Clustering in the Polish Language
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    Chapter 46 The impact of NLP techniques in the multilabel text classification problem
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    Chapter 47 Cluster Analysis of Named Entities
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    Chapter 48 Indexing Object Propagation in Large Systems
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    Chapter 49 Intelligent Resources Search in Virtual Libraries
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    Chapter 50 A syntactical analysis of anaphora in the Polsyn parser
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    Chapter 51 Genetic Algorithm as an Attributes Selection Tool for Learning Algorithms
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    Chapter 52 IBIS: A New Evolutionary Algorithm for Timetable Problem
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    Chapter 53 Tree-based Algorithm for Discovering Extended Action-Rules (System DEAR2)
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    Chapter 54 Semantic Representation of English Phrasal Verbs
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    Chapter 55 An algorithm of knowledge extraction from trained neural networks
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    Chapter 56 Document Ontology Discovery Tool
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    Chapter 57 Rule-based and Statistical Approaches to Morpho-syntactic Tagging of German
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    Chapter 58 Phonotactics in Inductive Logic Programming
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    Chapter 59 A Hybrid Approach to Semantic Web Services Discovery
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    Chapter 60 Discovering Logical Structures in Digital Documents
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    Chapter 61 Email Classification with Temporal Features
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    Chapter 62 Rule Discovery by Axes-Driven Hyperplanes Construction
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    Chapter 63 Scalable Methods of Discovering Rough Sets Reducts
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    Chapter 64 Incorporation of quantitative knowledge into genetic information systems
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    Chapter 65 Exchange of Knowledge and Learning in Default Reasoning Based Agent Systems
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    Chapter 66 Automatic Understanding of Signals
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    Chapter 67 Automatic understanding of ECG signal
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    Chapter 68 Picture Languages in Cognitive Approach to Medical Visualization Understanding
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    Chapter 69 Automatic Understanding of Speech Pathology
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    Chapter 70 Application of Zernike Moments, Independent Component Analysis, and Rough and Fuzzy Classifier for Hand-Written Character Recognition
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    Chapter 71 Input preprocessing for neural feedforward architecture
Overall attention for this book and its chapters
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Title
Intelligent Information Processing and Web Mining
Published by
Springer Science & Business Media, April 2004
DOI 10.1007/978-3-540-39985-8
ISBNs
978-3-54-021331-4, 978-3-54-039985-8
Editors

Kłopotek, Mieczysław A., Wierzchoń, Sławomir T., Trojanowski, Krzysztof

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Malaysia 1 4%
India 1 4%
United States 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Student > Master 4 15%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 9 35%
Readers by discipline Count As %
Computer Science 12 46%
Physics and Astronomy 2 8%
Business, Management and Accounting 1 4%
Engineering 1 4%
Unknown 10 38%