KDD
2006
ACM
14 years 5 months ago
2006
ACM
KDD
2006
ACM
14 years 5 months ago
2006
ACM
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Partitions of sequential data exist either per se or as a result of sequence segmentation algorithms. It is often the case that the same timeline is partitioned in many different ...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
In the On Line Analytical Processing (OLAP) context, exploration of huge and sparse data cubes is a tedious task which does not always lead to efficient results. In this paper, we...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Research in frequent pattern mining has so far mostly focused on ...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...