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DIS
2007
Springer
13 years 8 months ago
Efficient Incremental Mining of Top-K Frequent Closed Itemsets
In this work we study the mining of top-K frequent closed itemsets, a recently proposed variant of the classical problem of mining frequent closed itemsets where the support thresh...
Andrea Pietracaprina, Fabio Vandin
DIS
2007
Springer
13 years 11 months ago
Literature-Based Discovery by an Enhanced Information Retrieval Model
The massive, ever-growing literature in life science makes it increasingly difficult for individuals to grasp all the information relevant to their interests. Since even experts’...
Kazuhiro Seki, Javed Mostafa
DIS
2007
Springer
13 years 11 months ago
Fast NML Computation for Naive Bayes Models
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Tommi Mononen, Petri Myllymäki
DIS
2007
Springer
13 years 11 months ago
A Consequence Finding Approach for Full Clausal Abduction
Abductive inference has long been associated with the logic of scientific discovery and automated abduction is now being used in real scientific tasks. But few methods can exploi...
Oliver Ray, Katsumi Inoue
DIS
2007
Springer
13 years 6 months ago
Reducing Trials by Thinning-Out in Skill Discovery
In this paper, we propose a new concept, thinning-out, for reducing the number of trials in skill discovery. Thinning-out means to skip over such trials that are unlikely to improv...
Hayato Kobayashi, Kohei Hatano, Akira Ishino, Ayum...