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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 4 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
CJ
2006
111views more  CJ 2006»
15 years 4 months ago
Relational Formalism for the Management of Spatial Data
Operations on spatial objects have much individuality. As a consequence, the spatial data modelling approaches, which have been proposed, have to consider either data types of the...
Nikos A. Lorentzos, Jose Ramon Rios Viqueira
PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
DATESO
2004
174views Database» more  DATESO 2004»
15 years 5 months ago
On Efficient Part-match Querying of XML Data
The XML language have been becoming de-facto a standard for representation of heterogeneous data in the Internet. From database point of view, XML is a new approach to data modelli...
Michal Krátký, Marek Andrt
WWW
2010
ACM
15 years 11 months ago
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
The Web abounds with dyadic data that keeps increasing by every single second. Previous work has repeatedly shown the usefulness of extracting the interaction structure inside dya...
Chao Liu, Hung-chih Yang, Jinliang Fan, Li-Wei He,...