1 / 46. Download Presentation >> Data Mining: Concepts and Techniques — Chapter 1 — — Introduction — Sep 07, 2014. 560 likes | 935 Views. Data Mining: Concepts and Techniques — Chapter 1 — — …

Data mining (knowledge discovery from data) Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data. 3 What is Data Mining By definition is the process of extracting previously unknown data from large databases and using it to make orgnisational decisions.

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2. What is Data Mining Non-trivial extraction of implicit, previously unknown and potentially useful information from data Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns Data mining is the process of automatically discovering useful information in large data …

Slides in PowerPoint. Chapter 1: Introduction. Chapter 2: Data, measurements, and data preprocessing. Chapter 3: Data warehousing and online analytical processing. Chapter 4: Pattern mining: basic concepts and methods. Chapter 5: Pattern mining: advanced methods. Chapter 6: Classification: basic concepts and methods

Data Mining Algorithms. "A data mining algorithm is a well-defined procedure that takes data as input and produces output in the form of models or patterns". Hand, Mannila, …

Data Mining: Introduction. Lecture Notes for Chapter 1 Introduction to Data Mining by Tan, Steinbach, Kumar. Why Mine Data? Commercial Viewpoint. Lots of data is being collected and warehoused …

L. Lovely Professional University. Data warehousing combines data from multiple sources into a single database to provide businesses with analytics results from data mining, OLAP, scorecarding …

Classification vs. Prediction • Classification • predicts categorical class labels (discrete or nominal) • classifies data (constructs a model) based on the training set and the values (class labels) in a …

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6 likes • 10,800 views. Marc Berman. Follow. A presentation about the 8 step data mining process. Technology. 1 of 15. Download Now. Download to read offline. THE DATA MINING PROCESS LEARNING.

Presentation on theme: "Data Mining."—. Presentation transcript: 1 Data Mining. 2 What is Data Mining/KDD. Data mining (knowledge discovery from data) Extraction of …

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Predictive Analytics - An Overview. This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.

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Data Mining Powerpoint Presentation Slides. Data mining combines domain experience, computer abilities, and mathematical and statistical understanding to extract …

About This Presentation. Title: DATA MINING. Description: Data Mining is defined as the procedure of extracting information from huge sets of data. Now a day, Data Mining technique placing a vital role in the Information …

Data mining PPT. Mar 24, 2014 •. 8 likes • 9,462 views. Kapil Rode. Technology. 1 of 30. Download Now. Download to read offline. Data mining PPT - Download as a PDF or view online for free.

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Updated Slides for CS, UIUC Teaching in PowerPoint form. (Note: This set of slides corresponds to the current teaching of the data mining course at CS, UIUC. In general, …

Trends and Research Frontiers in Data Mining . Updated Slides for CS, UIUC Teaching in PowerPoint form (Note: This set of slides corresponds to the current teaching of the data mining course at CS, UIUC. In general, it takes new technical materials from recent research papers but shrinks some materials of the textbook.

Data Mining and Business Intelligence Increasing potential to support business decisions End User Making Decisions Business Analyst Data Presentation Visualization Techniques Data Mining Data Analyst Information Discovery Data Exploration Statistical Analysis, Querying and Reporting Data Warehouses / Data Marts OLAP, MDA …

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Educational Data Mining Overview Ryan S.J.d. Baker PSLC Summer School 2010. Welcome to the EDM track! Educational Data Mining • "Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to …

Clustering • Clustering means grouping the objects based on the information found in the data describing the objects or their relationships. • The goal is that the objects in a group will be similar (or related) to one other and different from (or unrelated to) the objects in other groups. • grouped according to logical relationships or ...

Mining Association Rules: 11 Two Step Approach Frequent Itemset Generation Generate all itemsets whose support minsup Rule Generation Generate high confidence rules from frequent itemset Each rule is a binary partitioning of a frequent itemset Frequent itemset generation is computationally expensive Prof. Pier Luca Lanzi. 12.

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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 …

Presentation Transcript. tutorial based on the book: Data Mining Concepts and Tehniques by Jiawei Han and Micheline Kamber This material was developed with financial help of the WUSA fund of Austria. made by Radmilo Pesic & Branko Golubovic. 1 Introduction made by Radmilo Pesic & Branko Golubovic.