[PDF] Top 20 A Survey on Mining Competitor from Large Unstructured Data sets using C Miner
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A Survey on Mining Competitor from Large Unstructured Data sets using C Miner
... products using an aspect-based opinion mining approach is the another work done which uses opinions available on the web as ...like using a map-reduce techniques and processing parallel data ... See full document
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Mining Competitor from Large Unstructured Data sets using C Miner
... oppositions. Data mining approach for identifying and monitoring firm’s competitors and to solve number of question like formalizing and quantifying the competitiveness between two items, finding the main ... See full document
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Efficient Data Mining Method for Finding Competitors from Large Unstructured E Commerce Data
... In this work, the author [5], proposed the method to extract and predict interactions comparison. The comparison is done between the products of the customer feedback through the interdependencies between interactions to ... See full document
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Mining Competitors from Large Unstructured Datasets
... The primary test of our LKS system is the way to successfully quantify watchword inquiry closeness while catching the spatial separation factor. In agreement to past question recommendation approaches, LKS builds and ... See full document
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A Survey on Data Mining Association Rules By Effective Algorithms
... with large sets of data. Data mining is the process of extracting patterns or correlations[16] among dozens of fields in large relational data ...of data doubling ... See full document
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A Study on Big Data: Concepts, Architecture, and Technologies
... ‘Big data’ refers to the large volumes of structured and unstructured data or the complex data sets that cannot be handled by using a traditional data processing ... See full document
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Compressive Review On Mining Competitors From Large Unstructured Datasets
... Item B”) from the Web or other textual sources [8], [9], [10], [11], [12],[13]. Even though such expressions can indeed be indicators of competitiveness, they are absent in many domains. For instance, consider the ... See full document
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BIG DATA ANALYSIS IN DATA MINING APPLICATIONS USING HADOOP
... of data and the size of the databases used in today’s enterprises has been growing at exponential ...rates. Data is generated through many sources like business processes, transactions, social networking ... See full document
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SD Miner - A Spatial Data Mining System
... spatial data mining-2008: Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in ... See full document
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Max-Miner Algorithm Using Knowledge Discovery Process in Data Mining
... a survey of contrast set mining (CSM), emerging pattern mining (EPM), and subgroup discovery (SD) in a unifying framework named supervised descriptive rule ...for mining frequent closed item ... See full document
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Data Mining Using SAS Enterprise Miner – A Case Study Approach
... However, data mining typically involves large data sets that are observational rather than ...such large samples decreases to 0 as the sample size ...In data ... See full document
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International Journal of Computer Science and Mobile Computing
... Big data is a collection of large amount of data with various types of data and usable to be processed at much higher ...items from a transaction data set and derive association ... See full document
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Mining Competitors from Large Unstructured Datasets
... Next, we present CMiner, an exact algorithm for finding the top-k competitors of a given item. Our algorithm makes use of the skyline pyramid in order to reduce the number of items that need to be considered. Given that ... See full document
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A SURVEY ON EFFICIENT DATA MINING METHOD FOR FINDING COMPETITORS FROM LARGE UNSTRUCTURED E-COMMERCE DATA
... the mining competitors automatically from the ...for mining all information related to competitors, competitors’ strength and competing ...scale mining in a domain independent ... See full document
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Modelling Structures in Data Mining Techniques
... Abstract: Data mining involves finding out patterns of data from within large data sets-The large sets of data can be structured or ... See full document
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Mining Contenders from Huge Unstructured Datasets
... of competitor identification through pair-wise analysis of similarities between focal and target firms is well ...since competitor relationship s seen as a unique interaction between the ...for ... See full document
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IJCSMC, Vol. 4, Issue. 4, April 2015, pg.41 – 48 RESEARCH ARTICLE An Analysis of Recent Trends and Challenges in Web Usage Mining Applications
... structure mining focuses on analysis of the link structure of the web and one of its purposes is to identify more preferable ...content mining mainly focuses on the structure of the inner - document, while ... See full document
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Data Mining Technique in Unstructured Data of Big Data
... to Data mining ready on large quantity of big data methods which graphic of information and which gather together algorithms are genuine for categories and recognize important medical ... See full document
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Search Aspects and Participant Major Datasets Using Cluster Mining
... [9]. Mining tools are now an integral part of undertaking decision-making and risk ...Major data sets are frequently generated by great telecommunications ... See full document
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Analysis and Implementation of Text Mining for Different Documents
... The process of making structured data from unstructured and semi structured text is called text mining. Text mining is defined as bag of words. The environment is set up with various ... See full document
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