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» Approximate Data Structures with Applications
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SEBD
2004
139views Database» more  SEBD 2004»
15 years 8 months ago
A New Histogram-based Technique for Compressing Multi-Dimensional Data
Abstract. The need to compress data into synopses of summarized information often arises in many application scenarios, where the aim is to retrieve aggregate data efficiently, pos...
Filippo Furfaro, Giuseppe M. Mazzeo, Domenico Sacc...
VLDB
2009
ACM
159views Database» more  VLDB 2009»
16 years 7 months ago
Anytime measures for top-k algorithms on exact and fuzzy data sets
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
NIPS
2008
15 years 8 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
LATIN
2010
Springer
16 years 1 months ago
Compact Rich-Functional Binary Relation Representations
Binary relations are an important abstraction arising in a number of data representation problems. Each existing data structure specializes in the few basic operations required by ...
Jérémy Barbay, Francisco Claude, Gon...
SIGSOFT
2005
ACM
16 years 7 months ago
Performance data collection using a hybrid approach
Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
Edu Metz, Raimondas Lencevicius, Teofilo F. Gonzal...