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  1. Journal of Intelligent Information Systems
  2. Journal of Intelligent Information Systems : Volume 42
  3. Journal of Intelligent Information Systems : Volume 42, Issue 1, February 2014
  4. Bayesian analysis of GUHA hypotheses
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Journal of Intelligent Information Systems : Volume 48
Journal of Intelligent Information Systems : Volume 47
Journal of Intelligent Information Systems : Volume 46
Journal of Intelligent Information Systems : Volume 45
Journal of Intelligent Information Systems : Volume 44
Journal of Intelligent Information Systems : Volume 43
Journal of Intelligent Information Systems : Volume 42
Journal of Intelligent Information Systems : Volume 42, Issue 3, June 2014
Journal of Intelligent Information Systems : Volume 42, Issue 2, April 2014
Journal of Intelligent Information Systems : Volume 42, Issue 1, February 2014
Clustering-based diversity improvement in top-N recommendation
Cost-sensitive three-way email spam filtering
Bayesian analysis of GUHA hypotheses
Hierarchical directory mapping for category-constrained meta-search
Content based image retrieval via a transductive model
Mining top-k frequent patterns over data streams sliding window
Human perspective to anomaly detection for cybersecurity
Dealing with trajectory streams by clustering and mathematical transforms
Journal of Intelligent Information Systems : Volume 41
Journal of Intelligent Information Systems : Volume 40
Journal of Intelligent Information Systems : Volume 39
Journal of Intelligent Information Systems : Volume 38
Journal of Intelligent Information Systems : Volume 37
Journal of Intelligent Information Systems : Volume 36
Journal of Intelligent Information Systems : Volume 35
Journal of Intelligent Information Systems : Volume 34
Journal of Intelligent Information Systems : Volume 33
Journal of Intelligent Information Systems : Volume 32
Journal of Intelligent Information Systems : Volume 31
Journal of Intelligent Information Systems : Volume 30
Journal of Intelligent Information Systems : Volume 29
Journal of Intelligent Information Systems : Volume 28
Journal of Intelligent Information Systems : Volume 27
Journal of Intelligent Information Systems : Volume 26
Journal of Intelligent Information Systems : Volume 25
Journal of Intelligent Information Systems : Volume 24
Journal of Intelligent Information Systems : Volume 23
Journal of Intelligent Information Systems : Volume 22
Journal of Intelligent Information Systems : Volume 21
Journal of Intelligent Information Systems : Volume 20
Journal of Intelligent Information Systems : Volume 19
Journal of Intelligent Information Systems : Volume 18
Journal of Intelligent Information Systems : Volume 17
Journal of Intelligent Information Systems : Volume 16
Journal of Intelligent Information Systems : Volume 15
Journal of Intelligent Information Systems : Volume 14
Journal of Intelligent Information Systems : Volume 13
Journal of Intelligent Information Systems : Volume 12
Journal of Intelligent Information Systems : Volume 11
Journal of Intelligent Information Systems : Volume 10
Journal of Intelligent Information Systems : Volume 9
Journal of Intelligent Information Systems : Volume 8

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Bayesian analysis of GUHA hypotheses

Content Provider Springer Nature Link
Author Piché, Robert Järvenpää, Marko Turunen, Esko Šimůnek, Milan
Copyright Year 2013
Abstract The LISp-Miner system for data mining and knowledge discovery uses the GUHA method to comb through a large data base and finds 2 × 2 contingency tables that satisfy a certain condition given by generalised quantifiers and thereby suggest the existence of possible relations between attributes. In this paper, we show how a more detailed interpretation of the data in the tables that were found by GUHA can be obtained using Bayesian statistical methods. Using a multinomial sampling model and Dirichlet prior, we derive posterior distributions for parameters that correspond to GUHA generalised quantifiers. Examples are presented illustrating the new Bayesian post-processing tools implemented in LISp-Miner. A statistical model for the analysis of contingency tables for data from two subpopulations is also presented.
Ending Page 73
Page Count 27
Starting Page 47
File Format PDF
ISSN 09259902
e-ISSN 15737675
Journal Journal of Intelligent Information Systems
Issue Number 1
Volume Number 42
Language English
Publisher Springer US
Publisher Date 2013-06-23
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Data analysis Data Structures, Cryptology and Information Theory Bayesian statistics GUHA Information Storage and Retrieval Artificial Intelligence (incl. Robotics) Document Preparation and Text Processing Contingency table Business Information Systems Data mining Bayesian inference Contingency tables
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Networks and Communications Information Systems Software Hardware and Architecture
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