DATA WAREHOUSES & DATA MINING Term-Paper In Management Support System [pic] Submitted By: Submitted To: Chitransh Naman Anita Ma’am A22-JK903 Lecturer 10900100 MSS ABSTRACT :- Collection of integrated‚ subject-oriented‚ time-variant and non-volatile data in support of managements decision making process. Described as the "single point of truth"‚ the "corporate memory"‚ the sole historical register of virtually all transactions
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Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture‚ curation‚ storage search‚ sharing‚ transfer‚ analysis and visualization. At multiple TERABYTES in size‚ the text and images of Wikipedia are a classic example of big data. As of 2012‚ limits on the size of data sets that
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KNOWLEDGE AND DATA ENGINEERING‚ VOL. 23‚ NO. 1‚ JANUARY 2011 51 Data Leakage Detection Panagiotis Papadimitriou‚ Student Member‚ IEEE‚ and Hector Garcia-Molina‚ Member‚ IEEE Abstract—We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g.‚ on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from
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Introduction Big Data is indeed a better idea. Every day‚ we create 2.5 quintillion bytes of data–so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: posts to social media sites‚ digital pictures and videos posted online‚ transaction records of online purchases‚ and from cell phone GPS signals to name a few. This data is big data. “Much like the scientific principle that we can’t observe a system without changing it‚ big data can’t
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BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. Data can be classified into primary and secondary data. In order to
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Topic 1: The Data Mining Process: Data mining is the process of analyzing data from different perceptions and summarizing it into useful evidence that can be used to increase revenue‚ cut costs or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it and summarize the relationships identified. Association‚ Clustering‚ predictions and sequential patterns‚ decision trees and classification
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the researcher used Quantitative data collection methods. Using qualitative data collection method‚ it rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize‚ compare‚ and generalize. Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest. Depending on the research question‚ participants
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Data versus Information Elisha Hawkins-Beason Cis/105 May 23‚ 2013 Dennis Puckett Introduction The frequency of the use of the words data and information are very high in our daily lives. Depending on the context the meanings and use of these words differ. Both data and information are types of knowledge or something used to attain knowledge. Through used interchangeably‚ there are many differences between the meanings of these two words. Data refers to the lowest abstract or a raw input
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Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also
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insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are: a) Data warehousing b) Data Mining c) ETL d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the different field. Data warehousing and current
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