KDD
2004
ACM
14 years 9 months ago
2004
ACM
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Protein-protein interactions are of great interest to biologists. A variety of high-throughput techniques have been devised, each of which leads to a separate definition of an int...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...