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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 10 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
172
Voted
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
15 years 3 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 5 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 10 months ago
Semantic representation: search and mining of multimedia content
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic ...
Apostol Natsev, Milind R. Naphade, John R. Smith
152
Voted
EACL
2009
ACL Anthology
15 years 2 months ago
MINT: A Method for Effective and Scalable Mining of Named Entity Transliterations from Large Comparable Corpora
In this paper, we address the problem of mining transliterations of Named Entities (NEs) from large comparable corpora. We leverage the empirical fact that multilingual news artic...
Raghavendra Udupa, K. Saravanan, A. Kumaran, Jagad...