Data mining

Data mining is the process of discovering patterns, trends, correlations from large amounts of data stored electronically in repositories, using statistical methods, mathematical formulas, and pattern recognition technologies (Sharma n.d.). The main idea is to analyze data from different perspectives and discover useful trends, patterns and associations. As discussed in the previous chapter, the healthcare organizations are producing massive amounts of electronic medical records, which are impossible

income generated by selling user data to businesses hungry to find new consumers. By researching target consumer buying habits, businesses can find more consumers and invariably increase profits. Because of this, big data is a highly sought after business asset; however, mining that data is a complex task. How Data Mining Works Data mining is when a financial analyst gathers consumer information and looks for patterns that a business can exploit. A simplified data mining example is when a restaurant

Current Trends in Data Mining Sardor Khodjaev I. INTRODUCTION Data itself is useless, until it is mined and transformed into a valuable source of knowledge discovery. Due to its conversion into useful information, data mining has become the leading source being used in many fields worldwide. “Data mining is based on complex algorithms that allow for the segmentation of data to identify patterns and trends, detect anomalies, and predict the probability of various situational outcomes.”[1] Many

OF DATA WAREHOUSING AND DATA MINING TECHNOLOGY IN BUSINESS INTELLIGENCE ABSTRACT Information tеchnology is now еssеntial in еach part of our livеs which hеlp businеss and еntеrprisе to makе usе of applications likе dеcision support systеm, rеporting and quеry onlinе analytical procеssing, and prеdictivе еxamination and businеss routinе managеmеnt. A data warеhousе is a rеpository of rеlational databasеs dеsignеd for quеry which is analyzеd by data mining tеchniquе allowing еnormous data sеts

Data Mining Techniques and Their Applications in Financial Data Analysis Deepika Sattu, 800721246, dsattu@uncc.edu Abstract— Data mining is a logical process that is used to search through large amount of data in order to find useful data [2].There are many different types of analysis that can be done in order to retrieve information from big data. Each type of analysis will have a different impact or result. Which type of data mining technique you should use really depends on the type

Data stream mining is a stimulating field of study that has raised challenges and research issues to be addressed by the database and data mining communities. The following is a discussion of both addressed and open research issues [19]. Handling the continuous flow of data streams This is a data management issue. Traditional database management systems are not capable of dealing with such continuous high data rate. Novel indexing, storage and querying techniques are required to handle this non

Data Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts 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

comprehensive in depth review of data mining and association rule mining approaches and techniques, followed by a focus at interestingness & quality, and redundancy issues related to association rule mining. This review sets the basic work for our research and the proposals made here. 2.1 Data mining Data Mining technique is the result of a long process of studies and research in the area of databases and product development. This evolution began when business data and companies was stored for the

ABSTRACT Data mining is a popular technology for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining which is used to find information from large multimedia database system, using multimedia techniques and powerful tools. This paper analyzes about the use of essential

the data mining area known as closed itemset mining. The work program includes analysis a one of well-known algorithms from the literature, and then modifying these algorithm in order to optimize their performance by reduce the number of frequent pattern. Data mining is the procedure of getting new patterns from large amount of data. Data mining is a procedure of finding of beneficial information and patterns from huge data. It is also called as knowledge discovery method, knowledge mining from