Natural computation for business intelligence from Web usage mining

Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. Web usage mining has become very critical for effective Web site management, creating adaptive Web sites, business and support services, personalization, network traffic flow analysis and so on. This paper introduces the various ingredients of natural computation and further presents the important concepts of Web usage mining and its various practical applications.

[1]  Jaideep Srivastava,et al.  Creating adaptive Web sites through usage-based clustering of URLs , 1999, Proceedings 1999 Workshop on Knowledge and Data Engineering Exchange (KDEX'99) (Cat. No.PR00453).

[2]  Ajith Abraham.  i-Miner: a Web usage mining framework using hierarchical intelligent systems , 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

[3]  F. Azuaje.  Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .

[4]  Jaideep Srivastava,et al.  Web usage mining: discovery and application of interesting patterns from web data , 2000 .

[5]  Torben Bach Pedersen,et al.  A Hybrid Approach to Web Usage Mining , 2002, DaWaK.

[6]  Anupam Joshi,et al.  Warehousing and mining Web logs , 1999, WIDM '99.

[7]  Peter Nordin,et al.  Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .

[8]  Kevin M. Passino,et al.  Biomimicry of bacterial foraging for distributed optimization and control , 2002 .

[9]  Alex Alves Freitas,et al.  Web Page Classification with an Ant Colony Algorithm , 2004, PPSN.

[10]  Martyn Amos,et al.  Theoretical and Experimental DNA Computation , 1999, Bull. EATCS.

[11]  Gheorghe Paun,et al.  Computing with Membranes , 2000, J. Comput. Syst. Sci..

[12]  Jeffrey Heer,et al.  LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition , 2002, WEBKDD.

[13]  Florent Masseglia,et al.  An efficient algorithm for Web usage mining , 1999 .

[14]  David B. Fogel,et al.  Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .

[15]  Hendrik Blockeel,et al.  Web mining research: a survey , 2000, SKDD.

[16]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[17]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[18]  Lakhmi C. Jain,et al.  Recent advances in intelligent paradigms and applications , 2003 .

[19]  Ajith Abraham,et al.  Intelligent Systems: Architectures and Perspectives , 2004, ArXiv.

[20]  Janusz Kacprzyk,et al.  Computing with Words in Information/Intelligent Systems 1 , 1999 .

[21]  James E. Pitkow,et al.  Characterizing Browsing Strategies in the World-Wide Web , 1995, Comput. Networks ISDN Syst..

[22]  Jeffrey Heer,et al.  Identification of Web User Traffic Composition using Multi-Modal Clustering and Information Scent , 2000 .

[23]  Kate Smith-Miles,et al.  Web page clustering using a self-organizing map of user navigation patterns , 2003, Decis. Support Syst..

[24]  Wolfgang Banzhaf,et al.  Genetic Programming: An Introduction , 1997 .

[25]  Oren Etzioni,et al.  Adaptive Web Sites: Automatically Synthesizing Web Pages , 1998, AAAI/IAAI.

[26]  Pier Luca Lanzi,et al.  Mining interesting knowledge from weblogs: a survey , 2005, Data Knowl. Eng..

[27]  Ajith Abraham,et al.  Neuro Fuzzy Systems: Sate-of-the-Art Modeling Techniques , 2001, IWANN.

[28]  Ramana Rao,et al.  Silk from a sow's ear: extracting usable structures from the Web , 1996, CHI.

[29]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[30]  Anupam Joshi,et al.  On Using a Warehouse to Analyze Web Logs , 2003, Distributed and Parallel Databases.

[31]  D. Deutsch.  Quantum theory, the Church–Turing principle and the universal quantum computer , 1985, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[32]  Ajith Abraham,et al.  Business Intelligence from Web Usage Mining , 2003, J. Inf. Knowl. Manag..

[33]  JoshiAnupam,et al.  On Using a Warehouse to Analyze Web Logs , 2003 .

[34]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[35]  Ajith Abraham,et al.  Web usage mining using artificial ant colony clustering and linear genetic programming , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[36]  Zbigniew Michalewicz,et al.  Using Cultural Algorithms for Constraint Handling in GENOCOP , 1995, Evolutionary Programming.

[37]  C. Adami,et al.  Introduction To Artificial Life , 1997, IEEE Trans. Evol. Comput..

[38]  Thomas Bäck,et al.  Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..