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» Mining Very Large Databases
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130
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EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 3 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
123
Voted
RECSYS
2009
ACM
15 years 10 months ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
131
Voted
IDEAS
2000
IEEE
96views Database» more  IDEAS 2000»
15 years 8 months ago
A Cost Function for Uniformly Partitioned UB-Trees
Most operations of the relational algebra or SQL - like projection with duplicate elimination, join, ordering, group by and aggregations - are efficiently processed using a sorted...
Volker Markl, Rudolf Bayer
143
Voted
ICDE
2010
IEEE
282views Database» more  ICDE 2010»
16 years 3 months ago
Quantile-Based KNN Over Multi-Valued Objects
K Nearest Neighbor search has many applications including data mining, multi-media, image processing, and monitoring moving objects. In this paper, we study the problem of KNN over...
Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Y...
143
Voted
CORR
2007
Springer
134views Education» more  CORR 2007»
15 years 3 months ago
Web data modeling for integration in data warehouses
In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensio...
Sami Miniaoui, Jérôme Darmont, Omar B...