Web mining is the application of data mining technology to discover patterns from the web. The various tasks on web such as relation extraction, community mining, document clustering and automatic metadata extraction. A previously proposed web-based semantic similarity measures on three benchmark datasets showing high correlation with human rating. One of the main problems in information retrie...

We report evaluation results for our summarization system and analyze the resulting summarization data for three different types of corpora. To develop a robust summarization system, we have created a system based on sentence extraction and applied it to summarize Japanese and English newspaper articles, obtained some of the top results at two evaluation workshops. We have also created sentence...

In this work we develop a very simple batch learning algorithm for semiblind extraction of a desired source signal with temporal structure from linear mixtures. Although we use the concept of sequential blind extraction of sources and independent component analysis, we do not carry out the extraction in a completely blind manner; neither do we assume that sources are statistically independent. ...

We present a neural-network approach which allows sequential extraction of source signals from a linear mixture of multiple sources in the order determined by absolute values of normalized kurtosis. To achieve this, we develop a non-linear Hebbian learning rule for extraction of a single signal. We discuss several techniques which enable extraction of signals not randomly but in the desired ord...

Volume 1 • Issue 3 • 2012 A wide range of techniques is available whereby various extraction reagents and experimental conditions are used. These techniques involve a 5step [8], 4step (BCR, Bureau Commune de Reference of the European Commission) and 6-step [13] extraction, and are thus becoming popular and adopted methods used for sequential extraction [14,15]. Several analytical methods have b...