Web mining in soft computing framework: relevance, state of the art and future directions

By Sankar Kumar Pal, Varun Talwar, Pabitra Mitra. IEEE Trans. Neural Networks, 2002

393 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/097cfab85ecac00a0d2cb99f791b96c14c58a058

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Tat-seng Chua
2. Yonggang Wen
3. Pier Luca Lanzi
4. Federico Michele Facca
5. Han Hu
6. Xuelong Li
7. Xiangnan He
8. Xiang Wang

In Information Systems

1. Tat-seng Chua
2. Yonggang Wen
3. Pier Luca Lanzi
4. Federico Michele Facca
5. Han Hu
6. Xuelong Li
7. Xiangnan He
8. Xiang Wang

In Signal Processing

1. Tat-seng Chua
2. Yonggang Wen
3. Han Hu
4. Xuelong Li
5. Christie I. Ezeife
6. Nizar R. Mabroukeh

Citations in the corpus

• Big Data: A Survey (2014, neutral): “usage mining [123].”
• Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, methodology): “We can categorize web analytics into three areas of interest based on which part of the web is mined: web content mining, web structure mining, and web usage mining [210].”
• Mining interesting knowledge from weblogs: a survey (2005, background): “Recently, [9] has presented an overview of the Soft Computing techniques (e.”