data mining concepts and techniques pdf free download
Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... by R1© Tan,Steinbach, Kumar Introduction to Data Mining 36 Instance Based ClassifiersExamples:–Rote-learner• Memorizes entire training data and performs classification only if attributes ... $10K to $1M© Tan,Steinbach, Kumar Introduction to Data Mining 40 1 nearest-neighborVoronoi Diagram© Tan,Steinbach, Kumar Introduction to Data Mining 38 Nearest-Neighbor ClassifiersRequires ... r* and r’ • Choose rule set that minimizes MDL principle–Repeat rule generation and rule optimization for the remaining positive examples© Tan,Steinbach, Kumar Introduction to Data Mining...
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Oracle Data Guard Concepts and Administration
... Physical Standby and Cascaded Remote Physical Standby C-5C.3.2 Local Physical Standby and Cascaded Remote Logical Standby C-5C.3.3 Local and Remote Physical Standby and Cascaded Local Logical Standby ... is applied to the standby database.A standby database can be one of two types: a physical standby database or a logical standby database. If needed, either type of standby database can assume ... Physical and Logical Standby Databases■New Features Specific to Physical Standby Databases■New Features Specific to Logical Standby DatabasesNew Features Common to Physical and Logical Standby DatabasesThe...
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Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i Data
... SQL/MM for Data Mining. JDM has also influenced these standards. Oracle9i Data Mining will comply with the JDM standard when that standard is published.1.2.2 Data Mining ServerThe Data Mining ... viii Basic ODM Concepts 1-11Basic ODM Concepts Oracle9i Data Mining (ODM) embeds data mining within the Oracle9i database. The data never leaves the database — the data, data preparation, ... main components:■Oracle9i Data Mining API ■ Data Mining Server (DMS)1.2.1 Oracle9i Data Mining APIThe Oracle9i Data Mining API is the component of Oracle9i Data Mining that allows users to...
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AN INTRODUCTION TO KANT’S AESTHETICS: Core Concepts and Problems pdf
... Switzerland, England, and Germany,especially on Wolff and Baumbarten (pp. 198–231). Bäumler sees the task of aesthetics (and of teleology) in explaining the individual and its irrationality and ... the understanding in judgments” and the so-called “cat-egories,” or concepts of pure understanding.” Kant has introduced these cat-egories of the understanding in the first Critique, and he uses ... things,Amber, musk, incense and myrrh,That sing the ecstasies of spirit and of sense.(Translation byJoseph Swann and C. H. Wenzel)concept, purpose, or aim, and, therefore, neither is free. But beauty...
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More Advanced Linear Programming Concepts and Methods pdf
... ($M) => 180 100 80 50 7 20 $356 Formatted Problem and LP Solution For Power Gen Inc.1Ch 12: More Advanced Linear Programming Concepts and MethodsApplying Linear Programming to Those Investments ... goals and constraints, and an appreciation of Linear Programming methodology.5Explanations of the ‘Extension’ Ideas II. Interdependent projects: projects may provide mutual support and ... extensions include:1. Allowing more activities and constraints2. Recognizing indivisible investments3. Allowing inter-year resource borrowings and transfers4. Recognizing interdependent projects5....
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Ethics of Big Data: Balancing Risk and Innovation pdf
... “big data are based on distinctions between the capabilities of legacy database technologies and new data storage and processing techniques and tools such as Hadoop clusters, Bloom filters, and ... clusters, Bloom filters, and R data analysis tools. Big data is data too big to be handled and analyzed by traditional database protocols such as SQL (which makes big data a term that may evolve ... privacy, identity, reputation, and data ownership. The direct impact of failing to understand the complexities and nuance of the relationships between big -data technologies and the people who use...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... Specific-to-general Data Mining Association Analysis: Basic Concepts and AlgorithmsLecture Notes for Chapter 6Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data ... to Data Mining 49 Effect of Support DistributionMany real data sets have skewed support distributionSupport distribution of a retail data set© Tan,Steinbach, Kumar Introduction to Data Mining ... may decouple the support and confidence requirements© Tan,Steinbach, Kumar Introduction to Data Mining 16 Reducing Number of ComparisonsCandidate counting:–Scan the database of transactions...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf
... cross cultural analysis Managerial implications and recommendations Style: scientific and statistical-7-18/01/2006Ulrich Öfele3. Methodology and Instruments: Customer Satisfaction Survey ... service quality and enhance growth through increased consumerism -2-18/01/2006Ulrich ÖfeleOverview:1. Authors and outline of the text2. Research objectives3. Methodology and Instruments4. ... of same methods with which SatPers and SatSett were originally derived Restaurants: Burger King, Checkers, Kentucky Fried Chicken, McDonald’s Taco Bell and Wendy’s (cross national) Questions...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Married 80K ? 10 Test Data © Tan,Steinbach, Kumar Introduction to Data Mining 25 Splitting Based on Continuous Attributes© Tan,Steinbach, Kumar Introduction to Data Mining 46 Tree InductionGreedy ... Tan,Steinbach, Kumar Introduction to Data Mining 3 Illustrating Classification Task© Tan,Steinbach, Kumar Introduction to Data Mining 13 Apply Model to Test Data RefundMarStTaxIncYESNONONOYes ... AttributesTraining Data Model: Decision Tree© Tan,Steinbach, Kumar Introduction to Data Mining 8 Decision Tree Classification TaskDecision Tree© Tan,Steinbach, Kumar Introduction to Data Mining 35...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... Introduction to Data Mining 23 Multi-level Association RulesHow do support and confidence vary as we traverse the concept hierarchy?–If X is the parent item for both X1 and X2, then σ(X) ... 0.33 0.00 0.33Normalize© Tan,Steinbach, Kumar Introduction to Data Mining 31 Sequential Pattern Mining: DefinitionGiven: –a database of sequences –a user-specified minimum support threshold, ... found–Candidate Generation: •Merge pairs of frequent subsequences found in the (k-1)th pass to generate candidate sequences that contain k items –Candidate Pruning:•Prune candidate k-sequences...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... clusters are irregular or intertwined, and when noise and outliers are present. 6 density-based clusters© Tan,Steinbach, Kumar Introduction to Data Mining 34 Handling Empty ClustersBasic K-means ... Tan,Steinbach, Kumar Introduction to Data Mining 42 Limitations of K-means: Non-globular ShapesOriginal PointsK-means (2 Clusters)© Tan,Steinbach, Kumar Introduction to Data Mining 13 Types of Clusters: ... Kumar Introduction to Data Mining 5 Notion of a Cluster can be AmbiguousHow many clusters?Four Clusters Two Clusters Six Clusters © Tan,Steinbach, Kumar Introduction to Data Mining 41 Limitations...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
... to Data Mining 11 Sparsification in the Clustering Process© Tan,Steinbach, Kumar Introduction to Data Mining 22 Experimental Results: CHAMELEON© Tan,Steinbach, Kumar Introduction to Data Mining ... Kumar Introduction to Data Mining 18 Experimental Results: CHAMELEON© Tan,Steinbach, Kumar Introduction to Data Mining 16 Chameleon: StepsPreprocessing Step: Represent the Data by a Graph–Given ... cluster the data is drastically reduced–The size of the problems that can be handled is increased © Tan,Steinbach, Kumar Introduction to Data Mining 35 SNN Clustering Can Handle Other...
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition
... of techniques to apply in a particular situation depends on the nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner. Data mining ... By data mining, of course! How Data Mining Was Applied Most data mining methods learn by example. The neural network or decision tree generator or what have you is fed thousands and thousands ... that, on a technical level, the data mining effort is working and the data is reasonably accurate. This can be quite comforting. If the data and the data mining techniques applied to it are powerful...
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