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DASFAA
2005
IEEE
153views Database» more  DASFAA 2005»
15 years 3 months ago
FASST Mining: Discovering Frequently Changing Semantic Structure from Versions of Unordered XML Documents
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
Qiankun Zhao, Sourav S. Bhowmick
CIKM
2009
Springer
14 years 7 months ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
BMCBI
2008
158views more  BMCBI 2008»
14 years 9 months ago
Discovering gene annotations in biomedical text databases
Currently, most of the discovered biological and biomedical knowledge is available as textual data in scientific papers. And, locating and curating information about a genomic enti...
Ali Cakmak, Gultekin Özsoyoglu
CIKM
2004
Springer
15 years 2 months ago
Discovering frequently changing structures from historical structural deltas of unordered XML
Recently, a large amount of work has been done in XML data mining. However, we observed that most of the existing works focus on the snapshot XML data, while XML data is dynamic i...
Qiankun Zhao, Sourav S. Bhowmick, Mukesh K. Mohani...
SIGMOD
2010
ACM
217views Database» more  SIGMOD 2010»
15 years 2 months ago
Mining knowledge from databases: an information network analysis approach
Most people consider a database is merely a data repository that supports data storage and retrieval. Actually, a database contains rich, inter-related, multi-typed data and infor...
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu