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ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
14 years 1 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
KDD
1998
ACM
148views Data Mining» more  KDD 1998»
13 years 11 months ago
Group Bitmap Index: A Structure for Association Rules Retrieval
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
Tadeusz Morzy, Maciej Zakrzewicz
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 7 months ago
Aggregating time partitions
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 ...
Evimaria Terzi, Panayiotis Tsaparas, Taneli Mielik...
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 9 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong
ICWSM
2009
13 years 5 months ago
Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators
Aggregators rely on votes, and links to select and present subsets of the large quantity of news and opinion items generated each day. Opinion and topic diversity in the output se...
Sean A. Munson, Daniel Xiaodan Zhou, Paul Resnick