Advanced Neuro-Fuzzy Approach for Social Media Mining Methods using Cloud

Social media sites are now very popular medium for showing your views and opinions to others with a great amount of various types of information uploaded by the social media users, a social web page can be a collection of pages, audio files, photographs, images, video files and other forms of data in structured or unstructured form. It is also huge, diverse, and dynamic, hence raises the scalability. The primary aim of web mining is to extract useful information and knowledge from web. Web mining is a part of data mining which relates to various research communities such as information retrieval, database management systems and Artificial intelligence. A hybrid Neuro-fuzzy methods may faster the process of web mining on social media sites , this paper attempts to analyze benefits and drawbacks of ANN and Fuzzy approaches for mining the social media data sets .

[1]  R. Sivakumar,et al.  Ant-based Clustering Algorithms: A Brief Survey , 2010 .

[2]  Sankar K. Pal,et al.  Data mining in soft computing framework: a survey , 2002, IEEE Trans. Neural Networks.

[3]  Sankar K. Pal,et al.  Soft Computing for Image Processing , 2000 .

[4]  Richa Gupta Web Mining using Artificial Ant Colonies: A Survey , 2014, ArXiv.

[5]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

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

[7]  Sankar K. Pal,et al.  Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing , 1999 .

[8]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

[9]  Baldo Faieta,et al.  Diversity and adaptation in populations of clustering ants , 1994 .

[10]  W. Marsden I and J , 2012 .

[11]  Julia Handl,et al.  Ant-based and swarm-based clustering , 2007, Swarm Intelligence.

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

[13]  Jean-Louis Deneubourg,et al.  The dynamics of collective sorting robot-like ants and ant-like robots , 1991 .

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

[15]  Lotfi A. Zadeh,et al.  Fuzzy Logic , 2009, Encyclopedia of Complexity and Systems Science.

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