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» Mining data streams: a review
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PAM
2012
Springer
12 years 4 months ago
A Sequence-Oriented Stream Warehouse Paradigm for Network Monitoring Applications
Network administrators are faced with the increasingly challenging task of monitoring their network’s health in real time, drawing upon diverse and voluminous measurement data fe...
Lukasz Golab, Theodore Johnson, Subhabrata Sen, Je...
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
14 years 9 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 9 months ago
Bias and controversy: beyond the statistical deviation
In this paper, we investigate how deviation in evaluation activities may reveal bias on the part of reviewers and controversy on the part of evaluated objects. We focus on a `data...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 9 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 6 months ago
Topic Evolution in a Stream of Documents.
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Alexander Hinneburg, Andrè Gohr, Myra Spili...