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Discovery Science

Overview of attention for book
Cover of 'Discovery Science'

Table of Contents

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    Book Overview
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    Chapter 1 Abduction and the Dualization Problem
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    Chapter 2 Signal Extraction and Knowledge Discovery Based on Statistical Modeling
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    Chapter 3 Association Computation for Information Access
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    Chapter 4 Efficient Data Representations That Preserve Information
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    Chapter 5 Can Learning in the Limit Be Done Efficiently?
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    Chapter 6 Discovering Frequent Substructures in Large Unordered Trees
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    Chapter 7 Discovering Rich Navigation Patterns on a Web Site
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    Chapter 8 Mining Frequent Itemsets with Category-Based Constraints
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    Chapter 9 Modelling Soil Radon Concentration for Earthquake Prediction
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    Chapter 10 Dialectical Evidence Assembly for Discovery
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    Chapter 11 Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions
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    Chapter 12 Performance Evaluation of Decision Tree Graph-Based Induction
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    Chapter 13 Discovering Ecosystem Models from Time-Series Data
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    Chapter 14 An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm
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    Chapter 15 Extraction of Coverings as Monotone DNF Formulas
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    Chapter 16 What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
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    Chapter 17 Clustering Orders
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    Chapter 18 Business Application for Sales Transaction Data by Using Genome Analysis Technology
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    Chapter 19 Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates
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    Chapter 20 Chaining Patterns
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    Chapter 21 An Algorithm for Discovery of New Families of Optimal Regular Networks
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    Chapter 22 Enumerating Maximal Frequent Sets Using Irredundant Dualization
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    Chapter 23 Discovering Exceptional Information from Customer Inquiry by Association Rule Miner
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    Chapter 24 Automatic Classification for the Identification of Relationships in a Meta-Data Repository
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    Chapter 25 Effects of Unreliable Group Profiling by Means of Data Mining
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    Chapter 26 Using Constraints in Discovering Dynamics
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    Chapter 27 SA-Optimized Multiple View Smooth Polyhedron Representation NN
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    Chapter 28 Elements of an Agile Discovery Environment
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    Chapter 29 Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering
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    Chapter 30 Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction
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    Chapter 31 A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence Data
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    Chapter 32 Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
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    Chapter 33 Mining RNA Structure Elements from the Structure Data of Protein-RNA Complexes
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    Chapter 34 Discovery of Cellular Automata Rules Using Cases
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    Chapter 35 Discovery of Web Communities from Positive and Negative Examples
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    Chapter 36 Association Rules and Dempster-Shafer Theory of Evidence
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    Chapter 37 Subgroup Discovery among Personal Homepages
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    Chapter 38 Collaborative Filtering Using Projective Restoration Operators
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    Chapter 39 Discovering Homographs Using N-Partite Graph Clustering
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    Chapter 40 Discovery of Trends and States in Irregular Medical Temporal Data
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    Chapter 41 Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques
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    Chapter 42 Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model
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    Chapter 43 An Appraisal of UNIVAUTO – The First Discovery Program to Generate a Scientific Article
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    Chapter 44 Scilog: A Language for Scientific Processes and Scales
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    Chapter 45 Mining Multiple Clustering Data for Knowledge Discovery
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    Chapter 46 Bacterium Lingualis – The Web-Based Commonsensical Knowledge Discovery Method
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    Chapter 47 Inducing Biological Models from Temporal Gene Expression Data
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    Chapter 48 Knowledge Discovery on Chemical Reactivity from Experimental Reaction Information
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    Chapter 49 A Method of Extracting Related Words Using Standardized Mutual Information
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    Chapter 50 Discovering Most Classificatory Patterns for Very Expressive Pattern Classes
  52. Altmetric Badge
    Chapter 51 Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns
Attention for Chapter 17: Clustering Orders
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Chapter title
Clustering Orders
Chapter number 17
Book title
Discovery Science
Published in
Lecture notes in computer science, January 2003
DOI 10.1007/978-3-540-39644-4_17
Book ISBNs
978-3-54-020293-6, 978-3-54-039644-4
Authors

Toshihiro Kamishima, Jun Fujiki, Kamishima, Toshihiro, Fujiki, Jun

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 3 27%
Researcher 2 18%
Professor 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 6 55%
Economics, Econometrics and Finance 2 18%
Nursing and Health Professions 1 9%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2012.
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#18,308,895
of 22,668,244 outputs
Outputs from Lecture notes in computer science
#6,005
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Outputs of similar age
#123,951
of 128,894 outputs
Outputs of similar age from Lecture notes in computer science
#72
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