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KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 11 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
STACS
1993
Springer
15 years 10 months ago
The Complexity of Logic-Based Abduction
Abduction is an important form of nonmonotonic reasoning allowing one to find explanations for certain symptoms or manifestations. When the application domain is described by a l...
Thomas Eiter, Georg Gottlob
STOC
1993
ACM
123views Algorithms» more  STOC 1993»
15 years 10 months ago
Constructing small sample spaces satisfying given constraints
Abstract. The subject of this paper is nding small sample spaces for joint distributions of n discrete random variables. Such distributions are often only required to obey a certa...
Daphne Koller, Nimrod Megiddo
DASFAA
2004
IEEE
86views Database» more  DASFAA 2004»
15 years 10 months ago
Supporting Exploratory Queries in Databases
Users of database applications, especially in the e-commerce domain, often resort to exploratory "trial-and-error" queries since the underlying data space is huge and unf...
Abhijit Kadlag, Amol V. Wanjari, Juliana Freire, J...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 8 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye