PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
The lack of standards for Romanization of Thai proper names makes searching activity a challenging task. This is particularly important when searching for people-related documents ...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
Abstract. Newistic is a web mining platform that collects and analyses documents crawled from the Internet. Although it currently processes news articles, it can be easily adapted ...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...