KDD
2004
ACM
14 years 12 months ago
2004
ACM
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
A coCluster of a m?n matrix X is a submatrix determined by a subset of the rows and a subset of the columns. The problem of finding coClusters with specific properties is of inter...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
KDD
2004
ACM
14 years 12 months ago
2004
ACM
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
KDD
2004
ACM
14 years 12 months ago
2004
ACM
Detection of near duplicate documents is an important problem in many data mining and information filtering applications. When faced with massive quantities of data, traditional d...