ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dime...
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
ICDM
2003
IEEE
14 years 5 months ago
2003
IEEE
The data stream captured by recording inhabitantdevice interactions in an environment can be mined to discover significant patterns, which an intelligent agent could use to automa...
ICDM
2003
IEEE
2003
IEEE
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
14 years 5 months ago
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...