Communications of the ACM - Special issue on parallelism
Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Models for retrieval with probabilistic indexing
Information Processing and Management: an International Journal - Modeling data, information and knowledge
ACM Transactions on Information Systems (TOIS)
An evaluation of phrasal and clustered representations on a text categorization task
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Classifying news stories using memory based reasoning
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Automatic thesaurus construction based on grammatical relations
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Cluster-based text categorization: a comparison of category search strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A Study of Bayesian Clustering of a Document Set Based on GA
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
Automatic Web-Page Classification by Using Machine Learning Methods
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Information Access Based on Associative Calculation
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Extraction and representation of contextual information for knowledge discovery in texts
Information Sciences—Informatics and Computer Science: An International Journal
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A differential LSI method for document classification
AsianIR '03 Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11
Automated extraction of behavioural profiles from document usage
BT Technology Journal
Automatic thesaurus construction based on grammatical relations
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
An information-theoretic based model for large-scale contextual text processing
Information Sciences: an International Journal
Hierarchical comments-based clustering
Proceedings of the 2011 ACM Symposium on Applied Computing
Just-in-time interactive document search
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Evolutionary ANNs for improving accuracy and efficiency in document classification methods
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Related terms clustering for enhancing the comprehensibility of web search results
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Text classification, the grouping of texts into several clusters, has been used as a means of improving both the efficiency and the effective-Dess of text retrieval/categorization In this paper we propose a hierarchical clustering algorithm that constructs a Bet of clusters having the maximum Bayesian posterior probability, the probability that the given texts are classified into clusters We call the algorithm Hierarchical Bayesian Clustering (HBC) The advantages of HBC are experimentally verified from several viewpoints (1) HBC can reconstruct the original clusters more accurately than do other non probabilistic algorithms (2) When a probabilistic text categorization is extended to a cluster-based one, the use of HBC offers better performance than does the use of non probabilistic algorithms.