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RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
16 years 6 days 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...
KDD
1998
ACM
159views Data Mining» more  KDD 1998»
15 years 11 months ago
A Robust System Architecture for Mining Semi-Structured Data
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
LREC
2010
149views Education» more  LREC 2010»
15 years 8 months ago
A Recursive Treatment of Collocations
This article discusses the treatment of collocations in the context of a long-term project on the development of multilingual NLP tools. Besides "classical" two-word col...
Luka Nerima, Eric Wehrli, Violeta Seretan
LREC
2008
108views Education» more  LREC 2008»
15 years 8 months ago
Exploiting Lexical Resources for Disambiguating CJK and Arabic Orthographic Variants
The orthographical complexities of Chinese, Japanese, Korean (CJK) and Arabic pose a special challenge to developers of NLP applications. These difficulties are exacerbated by the...
Jack Halpern
CMG
2001
15 years 8 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
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