Web Mining Data mining is the nontrivial process of identifying valid novel‚ potentially useful‚ and ultimately understandable patterns in data – Fayyad. The most commonly used techniques in data mining is artificial neural networks‚ decision trees‚ genetic algorithm‚ nearest_neighbour method‚ and rule induction. Data mining research has drawn on a number of other fields such as inductive learning‚ machine learning and statistics etc. Machine learning – is the automation of a learning process
Premium World Wide Web Web page Data mining
Stock Exchange forecasting with Data Mining and Text Mining (Marketing and Sales Analysis) Full names : Fahed Yoseph TITLE : Senior software and Database Consultatnt (Founder of Info Technology System) E-mail: Yoseph@info-technology.net Date of submission: Sep 15th of 2013 CONTENTS PAGE Chapter 1 1. ABSTRACT 2 2. INTRODUCTION 3 2.1 The research problem. 4 2.2 The objectives of the proposal. 4 2.3 The Stock Market movement. 5 2.4 Research question(s). 6 2. Background 3. Problem
Premium Stock market Data mining
Project Topic 1: What is the Impact of Mining on South Africa and its people? GOLD Authors: Michelle Dandara‚ Kirsten Collins‚ Robyn Blench‚ Yumna Badrooien and Sonia Mataramvura Date of Completion: 17 February 2012 Teacher: Mr Altern Abstract Mining plays a very important role in South Africa: it is one of the driving forces behind South Africa’s booming economy and provides employment for millions of South Africans. South Africa boasts world-scale primary mining processing facilities and is a world
Premium Gold
P D Y Chapter 3 1 0 2 SURFACE MINING METHODS REFERENCE: BULLIVANT‚ DA. Current Surface Mining Techniques. Journal for the Transportation of Materials in Bulk: Bulk Solids Handling‚ vol 7‚ n6‚ December 1987‚ pp827-833. 2.1 Ore reserves Suitable for Surface Mining Ore reserves suitable for surface mining can be classified initially as; Relatively horizontal stratified reserves with a thin or thick covering of overburden Stratified vein-type deposits with an inclination steeper
Premium Mining
SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
Premium Data mining Decision support system
Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
Premium Data mining
I.Introduction Philippines’ minerals are the country’s assets‚ many mining applications and projects in the Philippines are also in small islands with fragile ecosystems that are also highly vulnerable to natural and climate hazards. The Philippines is one of the richest mining deposits globally. According to estimates‚ the Philippines have the fifth largest reserve of minerals in the world. It has the world’s 3rd largest gold‚ 4th largest copper‚ and 5th largest nickel reserves. The Intellasia
Premium Mining Mineral Water
Question 1: Case One –eBay Q1.1. Discuss the relationships between business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies
Premium Data mining
to explain how the mining industry faces an uncertain future in some parts of the world due to various political changes. Increase and unpredictable government intervention across the globe is adding further complexity to a sector that is already heavily laden with risk (Grant Thornton‚ 2011). Introduction Minerals constitute the back-bone of economic growth for any nation and the entire world has been eminently endowed with this gift of nature. Primary activity of the mining industry is to extract
Premium Mining Tax Investment
Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations
Premium Data mining