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Mining is a source of employment to people such as those who work in mines, in cement factories, in transport sector, etc. Mining has led to development of industries by providing raw materials used in those industries e.g. limestone used in cement factories, coal used in iron and steel industries, soda ash used in glass industry, etc.
1.3.2 Historical Note: Many names of Data Mining Data Mining and Knowledge Discovery field has been called by many names. In 1960-s, statisticians have used terms like "Data Fishing" or "Data Dredging" to refer to what they considered a bad practice of analyzing data without an apriori hypothesis.
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CSc 4740/6740 Data Mining Tentative Lecture Notes |Lecture for Chapter 1 Introduction |Lecture for Chapter 2 Getting to Know Your Data |Lecture for Chapter 3 Data Preprocessing |Lecture for Chapter 6 Mining Frequent Patterns, Association and Correlations: Basic Concepts and Methods |Lecture for Chapter 8 Classification: Basic Concepts |Lecture for Chapter 9 Classification: Advanced Methods
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Notes . Introduction to Data Mining ; Data Issues ; Data Preprocessing ; Classification, part 1 ; Classification, part 2 ; Lecture notes(MDL) Classification, part 3
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining by Tan, Steinbach, Kumar
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LECTURE 2: AN INTRODUCTION TO MINING. This lecture covers mining and introduces how mining generally is done, what machinery and methods are used and how ore and waste rock travel within the mine complex. Mining is done to liberate minerals from the crust of the earth.
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Related Field Statistics: more theory-based more focused on testing hypotheses Machine learning more heuristic focused on improving performance of a learning agent also looks at real-time learning and robotics – areas not part of data mining Data Mining and Knowledge Discovery integrates theory and heuristics focus on the entire process of knowledge discovery, including data cleaning,
the mining processso as to confine the search to only the interesting patterns. 4. User interface: Thismodule communicates between users and the data mining system,allowing the user to interact with the system by specifying a data mining query ortask, providing information to help focus the search, and performing exploratory datamining based on
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