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» Using Data Mining for Wine Quality Assessment
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 7 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
WINE
2005
Springer
268views Economy» more  WINE 2005»
14 years 15 days ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
13 years 11 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 9 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
EDBT
2012
ACM
315views Database» more  EDBT 2012»
11 years 9 months ago
Sieve: linked data quality assessment and fusion
The Web of Linked Data grows rapidly and already contains data originating from hundreds of data sources. The quality of data from those sources is very diverse, as values may be ...
Pablo N. Mendes, Hannes Mühleisen, Christian ...