data mining concepts and techniques 3rd edition
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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Tài liệu Dictionary of Nursing Theory and Research 3rd Edition doc
... and other documents and records;(b) data reduction and analysis products—write-ups and summaries offieldnotes and analytic notes; (c) data reconstruction and synthesis prod-ucts—categories, ... seeBrowne (2000), Clark, Barton, and Brown (2002), Fontana (2004), Fraser and Strang (2004), Kirkham and Anderson (2002), and Procter,Wilcockson, Pearson, and Allgar (2001).See Dialectic, ... interpretations, and conclusions; (d) processnotes—notes on methods, design, and rigor; (e) materials related to in-tentions and dispositions—proposal and personal notes; and (f) instru-ment...
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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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Dictionary of Leisure, Travel and Tourism 3rd edition
... of a banana cut lengthwise and filled with ice cream, cream and chocolatesaucebandband / bnd/ noun ENTERTAINMENT a groupof people who play music togetherbandagebandage /bndd/ MEDICAL ... ć The waitress hada bandage round her hand. í verb to wrap apiece of cloth around a wound or an injuredlimb ć She bandaged his leg ć His arm isbandaged up.bandanabandana /bn|dnə/ ... temple and proceed to the hotel for lunch.board and lodgingboard and lodging /bɔd ən lɒdŋ/noun room and food ć Board and lodgingfor three nights comes to £175.00. Alsocalled room and...
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distributed systems concepts and design 5th edition
... repeaters and network interfaces; and software components,including protocol stacks, communication handlers and drivers. The resulting functionality and performance available to distributed system and ... devices Database serverApplicationlogicDatabasemanagerTier 1 Tier 2 Tier 3a) data manipulationApplication and data managementUser view,controls and data manipulation54 CHAPTER 2 SYSTEM ... extended and implemented in new ways without disturbing its existing functionality (see Section 1.5.2). First, its operation is based on communication standards and document or content standards...
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hvac controls operation and maintenance (3rd edition)
... Refrigeration and Air-Condi-tioning Engineers, Inc., from 1987 HVAC Systems and Applications Handbook. Used by permission.”6 HVAC CONTROLS—OPERATION & MAINTENANCEoperate continuously and the ... complywith the requirements of fire codes for life safety and for safety of thecontents and the structure from injury and loss due to fire and smoke.The fire code most often used in the United ... as 2-pipe, 3-pipe, and 4-pipe.Each system type requires different control procedures forchangeover between cooling and heating and for temperature regulation.OPERATING AND MAINTAINING HVAC...
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engine testing theory and practice 3rd edition
... of the effected work and access areas,as will client’s and contractor’s vehicles and equipment.Preparation for such an event takes detailed planning, good communications and authoritative management. ... did not understand the importance’ clearly causes acute problems in theVibration and noise 25service and can give rise to fatigue failures of both the engine support brackets and those of auxiliary ... technical and budgetary dilemmas, give clear and costed recommendations and, so far as is possible, be supplier neutral. Thefinal text should be capable of easy incorporation into the Operation and...
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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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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 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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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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