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IJCNN
2007
IEEE
13 years 10 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
SEMCO
2008
IEEE
13 years 10 months ago
Text Categorization Based on Boosting Association Rules
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
Yongwook Yoon, Gary Geunbae Lee
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
13 years 11 months ago
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
—The recent interest in outsourcing IT services onto the cloud raises two main concerns: security and cost. One task that could be outsourced is data mining. In VLDB 2007, Wong e...
Ian Molloy, Ninghui Li, Tiancheng Li
ISBRA
2009
Springer
13 years 11 months ago
Mining of cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing
KIM, JIHYE. Mining of Cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing. (Under the direction of Steffen Heber). Alternative splicing (AS) is an important...
Jihye Kim, Sihui Zhao, Brian E. Howard, Steffen He...
CICLING
2009
Springer
13 years 11 months ago
Semantic-Based Temporal Text-Rule Mining
Abstract. In many contexts today, documents are available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also...
Kjetil Nørvåg, Ole Kristian Fivelstad
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
13 years 11 months ago
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...
SAC
2010
ACM
13 years 11 months ago
Mining temporal relationships among categories
Temporal text mining deals with discovering temporal patterns in text over a period of time. A Theme Evolution Graph (TEG) is used to visualize when new themes are created and how...
Saket S. R. Mengle, Nazli Goharian
SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
14 years 4 months ago
FARMER: Finding Interesting Rule Groups in Microarray Datasets
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Ji...
SIGMOD
2006
ACM
148views Database» more  SIGMOD 2006»
14 years 4 months ago
Research issues in data stream association rule mining
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Nan Jiang, Le Gruenwald
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
14 years 4 months ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...