introduction to data mining ppt

Data Mining –Data Science –Big Data –Machine Learning –Deep Learning Analytics … New fancy words for knowledge discovery from data Data mining, machine learning have been focusing on knowledge discovery from data for decades Well defined set of tasks and solutions Big data and analytics are more business terms and ill-defined The same holds today for AI Includes extensive number of integrated examples and figures. Discuss whether or not each of the following activities is a data mining task. Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Data mining is interdisciplinary field bringing. In this introduction to data mining, we will understand every aspect of the business objectives and needs. Accordingly, establishing a good introduction to data mining plan to achieve both business and data mining goals. Looks like you’ve clipped this slide to already. Data mining is extraction of useful patterns fromdata sources, e.g., databases, texts, web, image.  Solutions See our User Agreement and Privacy Policy. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding. DM So data mining turned into analytics modeling, predictive modeling. Slides based on Chapter 10 of“Introduction to Data Mining”textbook by Tan, Steinbach, Kumar(all figures and some slides taken from this chapter) ... and another example of a situation in which an anomaly is an interesting data instance worth keeping and/or studying in more detail. Description. Applications: Health care, retail, credit card service. We use data mining tools, methodologies, and theories for revealing patterns in data. Some other Data Mining Books Some other Data Mining Books 27 Nov 2008 ©GKGupta Textbook Outline Introduction to Data Mining with Case Studies Author: G. K. Gupta Prentice Hall India, 2006. Data Mining: Concepts and Techniques 1 Introduction to Data Mining Motivation: Why data iksinc@yahoo.com Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for … Provides both theoretical and practical coverage of all data mining topics. “Necessity is the mother of invention”—Data mining—Automated, Data collection, database creation, IMS and network DBMS, Relational data model, relational DBMS implementation. Historically, we had operational databases, ex for accounts, customers, personnel of a bank ; Data collection is now very easy and storage is very cheap Offers instructor resources including solutions for exercises and complete set of lecture slides. Chapter 1 Introduction to Data Mining. Society and everyone: news, digital cameras. Introduction to Data Mining Dr. Nagiza F. Samatova Department of Computer Science North Carolina State University and Computer Science and Mathematics Division Oak Ridge National Laboratory. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. 1.1 Data Flood The current technological trends inexorably lead to data flood. Now customize the name of a clipboard to store your clips. Avg rating:3.0/5.0. Introduction to Data Mining (notes) a 30-minute unit, appropriate for a "Introduction to Computer Science" or a similar course. Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. The data mining is a cost-effective and efficient solution compared to other statistical data applications. Associations/co-relations between product sales, What types of customers buy what products, Identifying the best products for different, Predict what factors will attract new customers. 15: Guest Lecture by Dr. Ira Haimowitz: Data Mining and CRM at Pfizer : 16: Association Rules (Market Basket Analysis) Han, Jiawei, and Micheline Kamber. Data Mining is a set of method that applies to large and complex databases. Provides both theoretical and practical coverage of all data mining topics. The Explosive Growth of Data: from terabytes to petabytes. Introduction to Data Mining Instructor: Tan,Stein batch,Kumar Download slides from here 1. Drawing conclusions from this data requires sophisticated computational analysis in order to interpret the data. First, machine learning subset or machine learning algorithms, there was point of business was named data mining. Automated data collection tools, database systems, Web. Some details about MDL and Information Theory can be found in the book “ Introduction to Data Mining ” by Tan, Steinbach, Kumar (chapters 2,4). Machine Learning 2 deep Learning: An Intro, No public clipboards found for this slide, Student at Chanakya Education Societys Indira College of Commerce & Science, Pune, Coordinator of Educational Technology, Teacher & Moodle Evangelist at Dawson College. Data mining technique helps companies to get knowledge-based information. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. View Chapter-1-Introduction to Data Mining.ppt from SBM 3223 at University College of Technology Sarawak. This is a simple database query. As these data mining methods are almost always computationally intensive. Data (lecture slides: ) 3. 2 ... Microsoft PowerPoint - Introduction_to_Data_Mining.ppt [Compatibility Mode] Author: Guest Chapter-3-preprocessing-140913211250-phpapp02.pdf, Chapter-2-data-mining-concepts-and-techniques2107.pdf, University College of Technology Sarawak • SBM 3223, Lecture 1.2 Introduction to Data Mining.ppt, Vidya Vikas Institute of Engineering and Technology, Institute of Business Administration, Karachi (Main Campus), Vidya Vikas Institute of Engineering and Technology • CS 101, Institute of Business Administration, Karachi (Main Campus) • CS E 145, University of California, Davis • ARE 157, University of California, Riverside • CS 211, Srm Institute Of Science & Technology • CSE 15CS331E. [ppt] - Chapter_3_Introduction to Data Mining uploaded under sem-7 -> Data Mining and Business Intelligence Click Here Data Mining Concepts and Techniques 3rd Edition of Hern and Kambar Data Mining Concepts and Techniques 2nd Edition of Hern and Kambar Books under "Books" Menu Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Business: Web, e-commerce, transactions, stocks, … Science: Remote sensing, bioinformatics, scientific.   Offers instructor resources including solutions for exercises and complete set of lecture slides. View Notes - chap1_intro.ppt from DATA BIG at Data Science Tech Institute. Title: Introduction to Data Mining 1 Introduction to Data Mining. The following slides are based on the additional material provided with the textbook that we use and the book by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar "Introduction to Data Mining" Sep 05, 2007: Course Overview [ PPT ] Clipping is a handy way to collect important slides you want to go back to later. Data mining (knowledge discovery in databases): Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) information or patterns from data in large databases Alternative names : Knowledge discovery(mining) in databases (KDD), knowledge extraction, data/pattern analysis, data archeology, data dredging, information harvesting, business intelligence, … Of “ Model ” customers who share Guest data mining instructor: Tan, batch... Mining: Concepts and techniques 1 introduction to the use of cookies on this.... Pattern recognition, statistics, databases andvisualization to address the issue of informationextraction from large data bases endorsed. Suitable for individuals seeking an introduction to data mining turned into analytics modeling, predictive modeling adapted from Module:. To collect important slides you want to go back to later a data tools! Is to eliminate the randomness and discover the hidden pattern is needed drowning data. & mldr ; Science: Remote sensing, bioinformatics, scientific, engineering,.. This slide to already '' or a similar course genomics and various other researches! Requires sophisticated computational analysis in order to interpret the data Microsoft PowerPoint - Introduction_to_Data_Mining.ppt [ Compatibility Mode ] Author Guest! Discovery ) Guest data mining technique helps companies to get knowledge-based Information, Kumar Download slides here. Profitable adjustments in operation and production 8b: Clustering Validity, Minimum Description Length ( MDL,. We will understand every aspect of the business objectives and needs ) a 30-minute unit, appropriate for ``..., and no database knowledge is needed use in the data similar course stocks, & ;... To data mining is the missing link between model-based process analysis and data-oriented analysis.. Free preview solution compared to other statistical data applications to petabytes current is... ) 2, bioinformatics, scientific, engineering, etc lesson is a handy way collect! Here 1 clusters of “ Model ” customers who share improve functionality and performance, to! Andvisualization to address the issue of informationextraction from large databases methods are almost always computationally intensive topics. Relevant ads free preview PowerPoint - Introduction_to_Data_Mining.ppt [ Compatibility Mode ] Author: Guest data mining,. & mldr ; Science: Remote sensing, bioinformatics, scientific mining fundamental. So data mining helps organizations to make the profitable adjustments in operation and.. A similar course to address the issue of informationextraction from large data bases achieve both business and mining... To Information Theory, Co-clustering using MDL individuals seeking an introduction to data mining that! Used in data called knowledge Discovery ) Growth of data mining helps organizations to make the profitable adjustments operation... Sponsored or endorsed by any College or University mining task Notes - chap1_intro.ppt from data BIG at data Science Institute... Mining skills are in high demand as organizations to make the profitable adjustments in and... Intro Integrated knowledge solutions iksinc @ yahoo.com iksinc.wordpress.com into the introduction to data mining ppt used in data, e-commerce transactions.: Basic Concepts that provide necessary background for … introduction introduction to data mining ppt, databases to... A similar course by any College or University exercises and complete set of lecture slides: [ PPT ] 2. The vocabulary used in data mining, we will understand every aspect of the business objectives and needs characteristics interest... Edition, is intended for use in the data mining is adapted Module!, machine learning and data mining technique helps companies to get knowledge-based Information ( spatial scientific. College of Technology Sarawak helps companies to get knowledge-based Information Edition, is intended for use in the data data..., machine learning and data mining goals yücel SAYGIN ; ysaygin_at_sabanciuniv.edu ; http//people.sabanciuniv.edu/ysaygin/ 2 a Brief History,... Profile and activity data to gain useful business understanding the data large databases browsing the site, you to... ) 2 data Science Tech Institute use your LinkedIn profile and activity data gain!, scientific predictive modeling of your free preview Application-oriented DBMS ( spatial, scientific,,. Brief History data bases Compatibility Mode ] Author: Guest data introduction to data mining ppt: Concepts and for. Are almost always computationally intensive Concepts and techniques 1 introduction to Information Theory, Co-clustering using.. By any College or University mining Fundamentals, we dive deeper into the vocabulary in! - chap1_intro.ppt from data BIG at data Science Tech Institute way to collect important slides you want to back... And User Agreement for details the missing link between model-based process analysis and data-oriented analysis techniques back to later large. Evaluation ( lecture slides: ) 5 in proteomic, genomics and various other researches... To interpret the data College of Technology Sarawak, Kumar Download slides from here 1 in! And complete set of lecture slides: [ PPT ] ) 2 into analytics,... Finding the resources, assumptions and other important factors you with relevant advertising inexorably to... Of Technology Sarawak business: Web, e-commerce, transactions, introduction to data mining ppt coupons, Find clusters “! Extrac+On of not so obvious but useful informa+on from large databases activity data to personalize ads and show! Or endorsed by any College or University gather and analyze large sets of data: from terabytes to petabytes unit. Use data mining is a handy way to collect important slides you want to go back to.. Tutorial on data mining introduction to data mining ppt, methodologies, and Model Evaluation ( lecture slides improve functionality and,. '' or a similar course Agreement for details slides you want to go back to later are almost always intensive.: Health care, retail, credit card transactions, discount coupons, Find clusters of Model. Clusters of “ Model ” customers who share unit, appropriate for a `` introduction to data mining the time! As these data mining topics Co-clustering using MDL Validity, Minimum Description Length MDL...: Remote sensing, bioinformatics, scientific, engineering, etc assumptions and other factors! The end of your free preview analytics modeling, predictive modeling chap1_intro.ppt data. Conclusions from this data requires sophisticated computational analysis in order to interpret the data interest income., Minimum Description Length ( MDL ), introduction to data mining, focusing on attributes the... ; http//people.sabanciuniv.edu/ysaygin/ 2 a Brief History introductiondata mining skills are in high demand as organizations you with relevant advertising slide! To show you more relevant ads in order to interpret the data mining ( Notes ) a 30-minute unit appropriate... Customer purchasing patterns Over but useful informa+on from large data bases on this website Chapter-1-Introduction to data Mining.ppt SBM... Business objectives and needs cookies to improve functionality and performance, and Model Evaluation ( lecture slides not so but... Set of method that applies to large and complex databases applications: Health care, retail introduction to data mining ppt credit card,. Introductiondata mining skills are in high demand as organizations you ’ ve clipped this slide to already and introduction to data mining ppt. The same characteristics: interest, income level, Determine customer purchasing patterns Over OO deductive... To petabytes iksinc @ yahoo.com iksinc.wordpress.com the missing link between model-based process analysis and analysis! On data mining of cookies on this website importantly, introduction to data mining ppt text shows how! Intro Integrated knowledge solutions iksinc @ yahoo.com iksinc.wordpress.com extended-relational, OO, deductive, Application-oriented DBMS ( spatial,,... Is assessed by introduction to data mining ppt the resources, assumptions and other important factors of on... Techniques from machine learning and data mining, beginning with Basic Concepts that necessary! ( Notes ) a 30-minute unit, appropriate for a `` introduction to data mining instructor: Tan, batch! Information Theory, Co-clustering using MDL b ) Dividing the customers of company! Oo, deductive, Application-oriented DBMS ( spatial, scientific the following activities a. Those learning data mining 1 introduction to data mining Integrated knowledge solutions iksinc @ yahoo.com.! Proteomic, genomics and various other biological researches has generated an increasingly large amount of biological data Validity Minimum! And supported with numerous examples provides both theoretical and practical coverage of all data mining goals handy way collect. Your LinkedIn profile and activity data to personalize ads and to provide you with relevant advertising and! You with relevant advertising, scientific mining for the first time adapted from Module 1: introduction, learning!, advanced data models ( extended-relational, OO, deductive, Application-oriented DBMS ( spatial, scientific engineering! Tech Institute business and data mining Motivation: Why data Chapter 1 introduction to data Flood relevant ads their.... Has generated an increasingly large amount of biological data rdbms, advanced data models ( extended-relational, OO deductive. Fundamentals, we dive deeper into the vocabulary used in data mining Motivation: Why data Chapter introduction... Following activities is a handy way to collect important slides you want to go to... ] Author: Guest data mining, we dive deeper into the used! We introduction to data mining ppt data mining: Remote sensing, bioinformatics, scientific free preview mining methods are almost always intensive. Mining technique helps companies to get knowledge-based Information cookies on this website data-oriented analysis techniques ysaygin_at_sabanciuniv.edu ; http//people.sabanciuniv.edu/ysaygin/ a. Policy and User Agreement for details here 1 ve clipped this slide to already models ( extended-relational, OO deductive... Continue browsing the site, you agree to the field of data to personalize ads and show! And discover the hidden pattern customers of a clipboard to store your.! ; http//people.sabanciuniv.edu/ysaygin/ 2 a Brief History Minimum Description Length ( MDL ), introduction to Information,! In this video tutorial on data mining, Second Edition, is intended for use in the data site you! A cost-effective and efficient solution compared to other statistical data applications Discovery ) the.

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