data mining concepts and techniques jiawei han micheline kamber pdf
Data Mining Concepts and Techniques phần 1 potx
... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider WorldMalcolm Chisholm Data Mining: Concepts and Techniques Jiawei Han and Micheline Kamber Understanding SQL and Java ... Series in Data Management SystemsSeries Editor: Jim Gray, Microsoft Research Data Mining: Concepts and Techniques, Second Edition Jiawei Han and Micheline Kamber Querying XML: XQuery, XPath, and SQL/XML ... Foundations of Data Mining 66511.3.2 Statistical Data Mining 66611.3.3 Visual and Audio Data Mining 66711.3.4 Data Mining and Collaborative Filtering 67011.4 Social Impacts of Data Mining 67511.4.1...
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Data Mining Concepts and Techniques phần 2 ppsx
... the original data. PCA is computationally inexpensive, can be applied to ordered and unorderedattributes, and can handle sparse data and skewed data. Multidimensional data of more than two dimensions ... 2.3 Data Cleaning 652.3.3 Data Cleaning as a ProcessMissing values, noise, and inconsistencies contribute to inaccurate data. So far, we havelooked at techniques for handling missing data and ... 972.7Summary Data preprocessing is an important issue for both data warehousing and data mining, as real-world data tend to be incomplete, noisy, and inconsistent. Data preprocessingincludes data cleaning,...
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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
... faster than the 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 ... 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 ... 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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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-learnerã Memorizes entire training data and performs classification only if attributes ... 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 ã 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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Tài liệu Wiley - Data Mining with Microsoft SQL Server 2008 (2009)01 pdf
... Implementing a Data Mining Process Using Office 2007 187Introducing the Data Mining Client 188Importing Data Using the Data Mining Client 189 Data Exploration and Preparation 190Discretizing Data with ... Introduction to Data Mining in SQL Server 2008 1Chapter 2 Applied Data Mining Using Microsoft Excel 2007 15Chapter 3 Data Mining Concepts and DMX 83Chapter 4 Using SQL Server Data Mining 127Chapter ... 82Chapter 3 Data Mining Concepts and DMX 83History of DMX 83Why DMX? 84The Data Mining Process 85Key Concepts 86Attribute 86State 87Case 88Keys 89Inputs and Outputs 91DMX Objects 93Mining...
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INFORMATION FOR SUCCESS - Customers Improve Data Warehousing Performance and Lower Costs with Oracle Exadata pdf
... system, and supportReduced backup time—including download of data to disc and transfer to tapefrom 26 ãhours to 6 hours, thanks to Oracle Recovery Manager, ensuring data integrity and reducing ... intensied; prices for phones and service stabilized at low rates; and service, products, and innovation became the only way to attract and retain customers. Campaigns and data on how they were working—became ... Centralizes Data Warehouse to Prepare for Increase in Data Volume“Our goal is to ensure the stability and performance of our data warehouse for the next two to three years. With Exadata Database...
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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, Kumarâ 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
... Kumar Introduction to Data Mining 4 Handling Categorical AttributesPotential IssuesWhat if attribute has many possible valuesã Example: attribute country has more than 200 possible valuesã ... pass over the sequence database D to find the support for these candidate sequencesCandidate Elimination:ãEliminate candidate k-sequences whose actual support is less than minsup © Tan,Steinbach, ... à > à + ã Z has zero mean and variance 1 under null hypothesis222121'nsnsZ+=àà © Tan,Steinbach, Kumar Introduction to Data Mining 3 Handling Categorical AttributesTransform...
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