Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
Abstract. One of the key challenges faced when developing contextaware pervasive systems is to capture the set of inputs that we want a system to adapt to. Arbitrarily specifying r...
Adrian K. Clear, Ross Shannon, Thomas Holland, Aar...
Phonetic string transduction problems, such as letter-to-phoneme conversion and name transliteration, have recently received much attention in the NLP community. In the past few y...
Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...
The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree s...
Recommendation agents employ prediction algorithms to provide users with items that match their interests. In this paper, several prediction algorithms are described and evaluated...