Sciweavers

1768 search results - page 3 / 354
» Mining Very Large Databases
Sort
View
ICDE
2008
IEEE
192views Database» more  ICDE 2008»
14 years 7 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
IDEAS
2006
IEEE
98views Database» more  IDEAS 2006»
13 years 11 months ago
PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
Zhenglu Yang, Masaru Kitsuregawa, Yitong Wang
VLDB
1995
ACM
163views Database» more  VLDB 1995»
13 years 9 months ago
An Efficient Algorithm for Mining Association Rules in Large Databases
Mining for a.ssociation rules between items in a large database of sales transactions has been described as an important database mining problem. In this paper we present an effic...
Ashok Savasere, Edward Omiecinski, Shamkant B. Nav...
DPD
2002
125views more  DPD 2002»
13 years 5 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung