Abstract
The World Wide Web (in short, the Web) is a huge collection of dynamic, diverse, and heterogeneous documents. Developments of web-based applications which can incorporate human’s intelligence, filter out irrelevant information, search through nonstructural data, and provide suitable answers to user’s questions as per their need in different fields of e-commerce, e-business, e-health, adaptive web systems, and information retrieval are needed. In the past, soft computing techniques have been successfully applied for many applications on the Web. In this book, we present chapters on recent efforts made in the area of soft computing applications to the Web. This chapter provides a brief introduction to the different chapters of the book.
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References
Zadeh LA (1994) Fuzzy logic, neural networks, and soft computing. Commun ACM 37(3):77–84
Pal SK, Talwar V, Mitra P (2002) Web mining in soft computing framework: relevance, state of the art and future directions. IEEE Trans Neural Netw 13(5):1163–1177
Soft computing home page—short definition of soft computing. Available at www.soft-computing.de. Last accessed on 15 Sept 2017
BISC Program; Soft computing people. Available at https://people.eecs.berkeley.edu/~zadeh/. Last accessed on 15 Sept 2017
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Klir GJ, Yuan B (1995) Fuzzy sets and fuzzy logic: theory and applications. Prentice Hall Inc., Upper Saddle River. ISBN: 0131011715
Tettamanzi A, Tomassini M (2013) Soft computing: integrating evolutionary, neural, and fuzzy systems. Springer Science & Business Media, Heidelberg
Haykin S (1998) Neural networks: a comprehensive foundation, 2nd edn. Prentice Hall Inc., Upper Saddle River. ISBN: 0132733501
Sivanandam SN, Deepa SN (2007) Introduction to genetic algorithms, 1st edn. Springer Publishing Company, New York. ISBN: 354073189X 9783540731894
Grosan C, Abraham A, Chis M (2006) Swarm intelligence in data mining. In: Grosan C, Abraham A, Chis M (eds) Swarm intelligence in data mining, studies in computational intelligence. Springer, Berlin, pp 1–20
Kennedy J, Eberhart RC (2001) Swarm intelligence. Morgan Kaufmann Publishers Inc., Burlington. ISBN: 1558605959
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Ali, R., Beg, M.M.S. (2017). Introduction. In: Ali, R., Beg, M. (eds) Applications of Soft Computing for the Web. Springer, Singapore. https://doi.org/10.1007/978-981-10-7098-3_1
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DOI: https://doi.org/10.1007/978-981-10-7098-3_1
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