Data mining

Importance of Data Mining in Internet Security ABSTRACT This research paper highlight the importance and need of data mining in the age of electronic media where large amount of information and consolidated database is readily available. This seemingly useless information can unearth some mind-blowing statistics and predict the future trends with relative ease through use of data mining techniques which can benefit the businesses, start-ups, country and individual alike. However

DATA MINING IN MEDICAL FIELD ABSTRACT Data mining is the process of releasing concealed information from a large set of database and it can help researchers gain both narrative and deep insights of exceptional understanding of large biomedical datasets. Data mining can exhibit new biomedical and healthcare knowledge for clinical decision making. Medical assessment is very important but complicated problem that should be performed efficiently and accurately. The goal of this paper is to discuss the

Data Warehousing and Data mining December, 9 2013 Data Mining and Data Warehousing Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means in any

Data Stream Mining: Methods and Challenges Md Kauser Ahmmed mahmmed@memphis.edu, University of Memphis, Memphis, Tennessee Abstract Modern hardware is advance to a level where it can collect huge data with a high rate. These make storing all the data nearly impossible. This gave rise to idea to process the data online to perform several queries. This paper discusses various data stream mining technique, current state of the art in streaming algorithms and the challenges. Keywords: Data Stream Mining;

The Ethical Concerns with Data Mining Introduction to Data Mining and Warehousing With the advent of computer technologies that can store large quantities of data, cross reference that data, and compute patterns in the data, benefits abound in many applications. However, with it comes new ethical concerns regarding the privacy and security of the persons or entities in which the information was sourced. While permission may have been received with each bit of information, which may have

Data Warehousing and Data Mining Data Warehousing also known in many industries as an Enterprise Data Warehouse is a system that contains a central repository of integrated data, often collected from multiple sources and is used to perform data analysis enabling the creation of detailed reports that contribute significantly to a corporation’s business intelligence. Data Warehousing emerged as a result of advances in the field of information systems over the last several decades. There are two major

CIS 501: Information Systems for Managers Data Mining Problems Introduction Problem 1: Data-Based Decision Making Problem 2: Market Basket Analysis: Association Analysis Problem 3: Market Basket Analysis: Concept Tree/Sequence Analysis Problem 4: Decision Tree Problem 5: Clustering/Nearest Neighbor Classification Problem 6: Clustering             Problem 1: Data-Based Decision Making Supermarket Product Placement Suppose that we are responsible for managing product placement within a

Abstract: Lot of research done in mining software repository. In this paper we discussed about the static model of data mining to extract defect .Different algorithms are used to find defects like naïve bayes algorithm, Neural Network, Decision tree. But Naïve Bayes algorithm has the best result .Data mining approach are used to predict defects in software .We used NASA dataset namely, Data rive. Software metrics are also used to find defects. Keywords: Naïve Bayes algorithm, Software Metric, Solution

Data Mining, a sub-branch of computer science, involving statistics, methods and calculations to find patterns in large amount of data sets, and database systems. Generally, data mining is the process to examine data from different aspects and summarizing it into meaningful information. Data mining techniques depict actions and future trends, allowing any individual to make better and knowledge-driven decisions.[1][2] In the past few years, research appeared from medical laboratories has converted

Data mining is the process of analysing data to discover meaningful patterns within the data resulting in extracting useful information that may have not been discovered yet. Data mining borrows techniques from a variety of fields such as statistics, machine learning and artificial intelligence. Because of its usefulness, data mining has been used in a range of industries such as, banking, telecommunications, retail, marketing, and insurance. Exclusive Ore, a group that specializes in data mining