data mining concepts and techniques jiawei han micheline kamber ppt
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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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 FINANCIAL ANALYSIS: TOOLS AND TECHNIQUES:A Guide for Managers ppt
... Tools and Techniques production, carefully calibrated against quality standards and relative contributionfrom products and services, or cost effectiveness standards that encourage en-hanced ... company, and works inclose collaboration with financial and other staff persons to make sure that rel-evant data are at hand for sound analysis and judgments. There’s sufficient un-derstanding ... are and how to enhance them, and understands thebusiness model and its parts sufficiently to have a positive impact throughcarefully analyzed and executed decisions. Parallel to this understanding...
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Tài liệu Wiley - Data Mining with Microsoft SQL Server 2008 (2009)02 pptx
... online transaction processing (OLTP)databases and more than 70 data warehouses. The first step is to pull therelevant data into a database or a data mart where the data analysis is applied.For example, ... purchasedemographic data to build models that meet your business requirements. Data Cleaning and Transformation Data cleaning and transformation are the most resource-consuming steps ina data mining project. ... do you know whether your data is ‘‘good’’or not? Data mining can analyze your data and pick out those items thatdon’t fit with the rest. Credit card companies use data mining drivenanomaly detection...
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Anthropometric Reference Data for Children and Adults: United States, 2003–2006 ppt
... of age and older by race and ethnicity and age, by mean, standard error of the mean, and selected percentiles: United States 2003–2006 Percentile Number Standard Race and ethnicity and age ... of age and older by race and ethnicity and age, by mean, standard error of the mean, and selected percentiles: United States 2003–2006 Percentile Number Standard Race and ethnicity and age ... of age and older by race and ethnicity and age, by mean, standard error of the mean, and selected percentiles: United States 2003–2006 Percentile Number Standard Race and ethnicity and age...
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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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