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KDD
2005
ACM
99views Data Mining» more  KDD 2005»
16 years 11 days ago
Disease progression modeling from historical clinical databases
This paper considers the problem of modeling disease progression from historical clinical databases, with the ultimate objective of stratifying patients into groups with clearly d...
Ronald K. Pearson, Robert J. Kingan, Alan Hochberg
PAKDD
2005
ACM
124views Data Mining» more  PAKDD 2005»
16 years 11 days ago
Finding Sporadic Rules Using Apriori-Inverse
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
Yun Sing Koh, Nathan Rountree
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
16 years 11 days ago
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...
Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
CASDMKM
2004
Springer
144views Data Mining» more  CASDMKM 2004»
16 years 8 days ago
Knowledge-Information Circulation Through the Enterprise: Forward to the Roots of Knowledge Management
The field of Knowledge Management (KM) has already completed its initiatory phase, characterized by operational confusion between knowledge and information, stemming from the tenuo...
Milan Zeleny
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
16 years 7 days ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
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