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Web Usage Mining Tools & Techniques: A survey

The Quest for knowledge has led to new discoveries and invention. That leads to amelioration of various technologies. As years passed World Wide Web became overloaded with information and it became hard to retrieve data according to the need .Web mining came as a violence to provide solution of above problem. Web usage mining is category of web mining. Web usage mining mainly circulation with discovery and analyzing of usage patterns in order to serve the needs of web based applications. The web usage mining mainly consist of three stages: data preprocessing, pattern discovery and pattern analysis. This paper is focused with the study of different tools and techniques for web usage mining

Published by: Satya Prakash Singh, Meenu

Author: Satya Prakash Singh

Paper ID: V2I5-1163

Paper Status: published

Published: October 6, 2016

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Vehicular Adhoc Network Routing Improved Throughput by Flower Pollination Optimization Algorithm

— VANET (Vehicular Ad-hoc Network) is a new technology which has taken enormous attention in the recent years. Due to rapid topology changing and frequent disconnection makes it difficult to design an efficient routing protocol for routing data among vehicles, called V2V or vehicle to vehicle communication and vehicle to road side infrastructure, called V2I. It is autonomous & self-organizing wireless communication network, where nodes in VANET involve themselves as servers and/or clients for exchanging & sharing information.

Published by: Karan Sharma, Shelly

Author: Karan Sharma

Paper ID: V2I5-1162

Paper Status: published

Published: October 4, 2016

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Research Paper

An Improved Visual Recognition of Letters of English Language using Lip Reading Technique

Two phenomena have determined the emergence of a new research field. First, the drop of costs involved in electronically collecting and storing interpretation of the world has brought the need for sophisticated technique to handle the outcome data collection. The mapping from acoustic to visual information is the focus of this part of the thesis. The challenge is to produce adequately precise movements, in order to convey useful information to the listener in a real-time system with low latency

Published by: Ishu Garg, Amandeep Verma

Author: Ishu Garg

Paper ID: V2I5-1160

Paper Status: published

Published: October 4, 2016

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Image Enhancement by Adaptive Filter with Ant Colony Optimization

The principal aim of the image enhancement technique is to modify the attributes in an image to make it more suitable for the given task and specific purpose. During the enhancement process the number of attributes to be modified varies from one to more. Digital image enhancement techniques provide the wide range of choices for improving the visual quality of image. The suitable choice of the technique to be applied is influenced by the imaging equipments, task in hand and viewing conditions. In this paper we use approach for image enhancement using weirner filter which optimize by met heuristics like ant colony optimization (ACO).Results is significance improve PSNR improve up to 28.56 and MSE reduce up to 2.54.

Published by: Kanchan Rani, Er. Gurjot kaur

Author: Kanchan Rani

Paper ID: V2I5-1159

Paper Status: published

Published: October 4, 2016

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MY Portfolio: An Intelligent Platform

The paper discusses the intelligent running of the website where Portfolio is a tool for creating online portfolio websites used by professionals or creative people like photographers, designers, architects, stylists, models etc. The portfolio gives a compact display of your profile be it your personal aspect or professional. There is a problem which the authors have tried to solve i.e unlike other professional network here user will have a single platform for both personal & professional profiles. Along with many of its unique feature portfolio is a very useful tool for the employers & also for the job seekers. It is a place where user can keep all his/her details i.e. personal & professional details like your hobby, your pictures, your resume if you are a job seeker, your requirement if you are an employer you can keep your requirements here along with all your social media links many more such details information. Here one can search the profiles of existing users will be notified that who has visited the profile. People can also get in touch with others by visiting their profile chatting each other.

Published by: Vinu Lata, Mrs. Aaradhna Singh

Author: Vinu Lata

Paper ID: V2I5-1158

Paper Status: published

Published: September 29, 2016

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Research Paper

Sentimental Analysis of Twitter Data using Text Mining and Hybrid Classification Approach

Opinion Mining is an important concept in today’s world and due to the advent of social media it has become a huge source of database. Since almost everybody in the modern era is involved with some social media platform, the public mood is hugely reflected in the social media today. This thesis proposes to utilize this source of information and predict the sentiments of public towards a particular topic. Food price crisis is being studied here in this thesis and public opinion is predicted for the topic. Twitter data is utilized for the same and live tweets of Indian origin are extracted using twitter API called ‘tweepy’. Oauth is used as handler and tweets are filtered for specific keywords and location using latitude longitude data. The tweets are saved into a database. They first preprocessed for removal of spam, special characters, url, short words etc.The tweets are then stemmed and tokenized and TF-IDF score is calculated for all the keywords. Feature selection is applied on it using Chi-Square and information gain. A term document matrix (TDM) is created which is fed to the classifiers for classification. Two classifiers has been analysed in this thesis: KNN and Naïve Baye’s and a hybrid has been made using them. The results of both the classifier has ben found to be satisfactory while the hybrid-KNN outperforms the Naïve Baye’s Classifiers in terms of accuracy. Thus a novel method is designed for opinion mining of Indian tweets regarding food price crisis.

Published by: Shubham Goyal

Author: Shubham Goyal

Paper ID: V2I5-1157

Paper Status: published

Published: September 28, 2016

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