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» Imprecise Data and Knowledge Based OLAP
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RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
13 years 11 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
SIGMOD
1997
ACM
172views Database» more  SIGMOD 1997»
13 years 10 months ago
An Array-Based Algorithm for Simultaneous Multidimensional Aggregates
Computing multiple related group-bys and aggregates is one of the core operations of On-Line Analytical Processing (OLAP) applications. Recently, Gray et al. [GBLP95] proposed the...
Yihong Zhao, Prasad Deshpande, Jeffrey F. Naughton
FCSC
2011
413views VLSI» more  FCSC 2011»
12 years 9 months ago
Type-2 fuzzy description logic
Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and ...
Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li, Xiaolin...
PVLDB
2008
157views more  PVLDB 2008»
13 years 4 months ago
SEDA: a system for search, exploration, discovery, and analysis of XML Data
Keyword search in XML repositories is a powerful tool for interactive data exploration. Much work has recently been done on making XML search aware of relationship information emb...
Andrey Balmin, Latha S. Colby, Emiran Curtmola, Qu...
ESANN
2007
13 years 7 months ago
Interval discriminant analysis using support vector machines
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
Cecilio Angulo, Davide Anguita, Luis Gonzál...