CIVR
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
ADMA
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
SBACPAD
2003
IEEE
14 years 4 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
ICDM
2003
IEEE
14 years 4 months ago
2003
IEEE
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
PKDD
2004
Springer
14 years 4 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
PAKDD
2004
ACM
14 years 4 months ago
2004
ACM
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push several types of constraints within the most well known algorithms. In this pap...
ICANN
2005
Springer
14 years 5 months ago
2005
Springer
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
SIGSOFT
2005
ACM
14 years 5 months ago
2005
ACM
Programs usually follow many implicit programming rules, most of which are too tedious to be documented by programmers. When these rules are violated by programmers who are unawar...
ICDM
2005
IEEE
14 years 5 months ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
ICDM
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper we study when the disclosure of data mining results represents, per se, a threat to the anonymity of the individuals recorded in the analyzed database. The novelty o...