PAKDD
2010
ACM
13 years 2 months ago
2010
ACM
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
PAKDD
2010
ACM
13 years 3 months ago
2010
ACM
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
PAKDD
2010
ACM
13 years 3 months ago
2010
ACM
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
PAKDD
2010
ACM
13 years 3 months ago
2010
ACM
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the...
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...