872 search results - page 30 / 175 » Hybrid Learning Scheme for Data Mining Applications |
KAIS
2008
13 years 7 months ago
2008
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
DCOSS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...