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    DMK-Medoid Heuristic Product Ranking in Online Market
    (Research India Publications, 2014) Jangiti, Saikishor
    For the past two decades Web Technology (WT) and online shopping has witnessed a monstrous growth. Everyday millions and billions of online shopping websites are growing in the internet for purchasing all types of commodities without disturbing the currency deliberately. Product analysis is an inevitable and umpteen numbers of methodologies are available in the existing world. In this paper, commodity like washing machine is taken as a prime product for analysis in the sites. Semantics has been formulated using different online websites cart. K-medoid clustering (crisp) and fuzzy K-means are employed for analyzing and mining a worthwhile cost and warranty. While making the budget, applying distributed measures and normalization in the above said semantics we have used Distributed Measure (DM) K-Medoid architecture. After the two methodologies crisp and fuzzy has been employed we arrive with that of the actuals. Through variance both budget and actuals are gauged. For attribute measures used gini and theil indexing in the semantics
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    BEST ELECTRONIC SHOPPING TECHNIQUE (BEST)-AN ADHOC COMPONENT USING BAT MODEL
    (Asian Research Publishing Network, 2015) Jangiti, Saikishor
    The rapid development of internet and technology made internet based virtual electronic shops come true. The moral stuff of online shopping is “Avail anything from anywhere at any time”. Online shopping paves a sophisticated way for customers to buy the commodity in less time. It helps the customers to know the feedback about the commodity that makes them to take corrective decisions. In addition to that, it serves the privacy to the customers as the traditional way does not suit this. Comparison shopping have emerged a new path to the online shopping. It assists the customers to compare the ‘N’ commodity simultaneously. However, umpteen number of online shops exists that makes a gap, since no website contribute adequate solution to meet the request of the customers about other aspects of commodity such as warranty, delivery days, review rating, quantity, EMI, COD, shipping cost, compare option etc. In this paper we are proposing BEST - Best Electronic Shopping Technique with a new model called TIM (Training Set - Interface - Model) which is imbibed, considering important attributes from top 20 popular sites to perform evaluation based on Crisp and Fuzzy methodologies. At the same time, details will be hunted and filtered by their demands and sorted them accordingly. Arrived results were obtained using variance, chi square, ANOVA and Theil indexing. As a consequence the customers will be able to yield commodity without spending more time and effort in visiting numerous number of sites.