Data Mining

Page 7 of 50 - About 500 Essays
  • Premium Essay

    Use of Data Mining by Government Agencies and Practical Applications

    Use of Data mining by government agencies and practical applications (Describe the Data Mining technologies, how these are being used in government agencies. Provide practical applications and examples) Compiled By:- Sneha Gang (Student # - 84114) Karan Sawhney (Student # - 85471) Raghunath Cherancheri Balan (Student # - 86088) Sravan Yella (Student # - 87041) Mrinalini Shah (Student # - 86701) Use of Data mining by government

    Words: 4505 - Pages: 19

  • Premium Essay

    Data Warehousing and Data Mining

    According to Lee, the most popular definition is a data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management’s decision making process (2014). Basically a data warehouse is a copy of transaction data specifically structured for query and analysis. According to Frand, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information – information

    Words: 1726 - Pages: 7

  • Free Essay

    Intro to Data Mining

    Assignment 1: Introduction Miles A. Cabanos Data Mining - 10303 CAP4770 Q1: Present an example where data mining is crucial to the success of a business. What data mining function does this business need? Can they be performed alternatively by data query processing or simple statistical analysis? Best example that I could think of would be Amazon.com. I think one of the functions the business uses is the characterization. This way it can keep track of what type of products customers buy,

    Words: 481 - Pages: 2

  • Premium Essay

    Data Mining Practical Machine Learning Tools and Techniques - Weka

    Data Mining Practical Machine Learning Tools and Techniques The Morgan Kaufmann Series in Data Management Systems Series Editor: Jim Gray, Microsoft Research Data Mining: Practical Machine Learning Tools and Techniques, Second Edition Ian H. Witten and Eibe Frank Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Earl Cox Data Modeling Essentials, Third Edition Graeme C. Simsion and Graham C. Witt Location-Based Services Jochen Schiller and Agnès Voisard Database

    Words: 191947 - Pages: 768

  • Premium Essay

    Data Mining Group Project

    As a group, we chose Data Mining for our project and in specific, an organization very popular and well used, Facebook. Facebook was founded on February 4, 2004 and its mission or purpose was to provide a social media platform. There is not a subscription cost and the platform is freely available to anyone with an internet connection and email address. However, there are advertising tools which one can pay for to ensure your various posts reach more of an audience. For example, you can set up

    Words: 400 - Pages: 2

  • Free Essay

    Data Mining Algorithms for Classification

    Data Mining Algorithms for Classification BSc Thesis Artificial Intelligence Author: Patrick Ozer Radboud University Nijmegen January 2008 Supervisor: Dr. I.G. Sprinkhuizen-Kuyper Radboud University Nijmegen Abstract Data Mining is a technique used in various domains to give meaning to the available data. In classification tree modeling the data is classified to make predictions about new data. Using old data to predict new data has the danger of being too fitted on the old data. But that problem

    Words: 5455 - Pages: 22

  • Free Essay

    Data Mining

    Let's discuss about data visualization. 201102139 Yoo Minsik 1. What is the data visualization in this link about? a. What is the figure in the upper section? New map of the world, countries sized by facebook population Pros: 1. Showing facebook population compared with each country geographical location. 2. Color division by continent makes easy to understand Cons: 1.Not easy to compare facebook population ratio with actual population 2. Not easy to recognize each square because

    Words: 355 - Pages: 2

  • Premium Essay

    Data Mining Assignment

    Briefly describe th emajor differences between data mining and statistics. a. Statistics is user driven, while data mining is data driven. b. In statistics, there exist underlying theory about certain relationships in data. While in data mining, there is often no pre-existing theory. c. In statistics, users use statistical methods to testify the hypothesis among data. While in data mining, users often use different techniques to examine data and uncover unknown relationships. 2.

    Words: 316 - Pages: 2

  • Premium Essay

    Data Warehousing and Data Mining

    Term Paper Data Warehousing and Data Mining Term Paper Data Warehousing and Data Mining A Data Warehouse Saves Time, Enhances Data Quality and Consistency, Provides Historical Intelligence, Generates a High return on investment. One of the benefits to using a data warehouse is that it conveys Business Intelligence By providing data from various sources. Management executives no longer need to make decisions based on finite data. Time is saved by allowing business users to get data quickly from

    Words: 1217 - Pages: 5

  • Free Essay

    Data Mining Term Paper

    FINAL REPORT DATA MINING Reported by: Nguyen Bao An – M9839920 Date: 99/06/16 Outline In this report I present my study in the Data mining course. It includes my two proposed approaches in the field of clustering, my learn lessons in class and my comment on this class. The report’s outline is as following: Part I: Proposed approaches 1. Introduction and backgrounds 2. Related works and motivation 3. Proposed approaches 4. Evaluation method

    Words: 5913 - Pages: 24

Page   1 4 5 6 7 8 9 10 11 50