Sciweavers

149 search results - page 28 / 30
» Itemset Materializing for Fast Mining of Association Rules
Sort
View
PADL
2000
Springer
14 years 3 days ago
Calculating a New Data Mining Algorithm for Market Basket Analysis
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Zhenjiang Hu, Wei-Ngan Chin, Masato Takeichi
VLDB
1998
ACM
147views Database» more  VLDB 1998»
14 years 22 days ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
DATAMINE
1999
152views more  DATAMINE 1999»
13 years 8 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
HPCC
2007
Springer
14 years 2 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
DIS
2003
Springer
14 years 1 months ago
Extraction of Coverings as Monotone DNF Formulas
Abstract. In this paper, we extend monotone monomials as large itemsets in association rule mining to monotone DNF formulas. First, we introduce not only the minimum support but al...
Kouichi Hirata, Ryosuke Nagazumi, Masateru Harao