data mining concepts and techniques by jiawei han micheline kamber 3rd edition pdf

Data Mining Concepts and Techniques phần 1 potx

Data Mining Concepts and Techniques phần 1 potx

Ngày tải lên : 08/08/2014, 18:22
... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider World Malcolm Chisholm Data Mining: Concepts and Techniques Jiawei Han and Micheline Kamber Understanding SQL and Java ... Series in Data Management Systems Series 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 665 11.3.2 Statistical Data Mining 666 11.3.3 Visual and Audio Data Mining 667 11.3.4 Data Mining and Collaborative Filtering 670 11.4 Social Impacts of Data Mining 675 11.4.1...
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Data Mining Concepts and Techniques phần 2 ppsx

Data Mining Concepts and Techniques phần 2 ppsx

Ngày tải lên : 08/08/2014, 18:22
... inexpensive, can be applied to ordered and unordered attributes, and can handle sparse data and skewed data. Multidimensional data of more than two dimensions can be handled by reducing the problem to two dimensions. ... 2.3 Data Cleaning 65 2.3.3 Data Cleaning as a Process Missing values, noise, and inconsistencies contribute to inaccurate data. So far, we have looked at techniques for handling missing data and ... 97 2.7 Summary 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 preprocessing includes data cleaning,...
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Data Mining Concepts and Techniques phần 3 docx

Data Mining Concepts and Techniques phần 3 docx

Ngày tải lên : 08/08/2014, 18:22
... Chapter 3 Data Warehouse and OLAP Technology: An Overview data by OLAP operations), and data mining (which supports knowledge discovery). OLAP-based data mining is referred to as OLAP mining, or ... processing, and data mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm that integrates OLAP with data mining technology. 3.5.1 Data Warehouse Usage Data warehouses and data ... Warehouse and OLAP Technology: An Overview 3.5 From Data Warehousing to Data Mining “How do data warehousing and OLAP relate to data mining? ” In this section, we study the usage of data warehousing...
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Oracle Data Guard Concepts and Administration

Oracle Data Guard Concepts and Administration

Ngày tải lên : 26/10/2013, 22:15
... Standby and Cascaded Remote Physical Standby C-5 C.3.2 Local Physical Standby and Cascaded Remote Logical Standby C-5 C.3.3 Local and Remote Physical Standby and Cascaded Local Logical Standby ... the redo data 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 ... primary database. Once the standby database is created and configured, Data Guard automatically maintains the standby database by transmitting primary database redo data to the standby system,...
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Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i Data

Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i Data

Ngày tải lên : 06/11/2013, 01:15
... Components Oracle9i Data Mining has two main components: ■ Oracle9i Data Mining API ■ Data Mining Server (DMS) 1.2.1 Oracle9i Data Mining API The Oracle9i Data Mining API is the component of Oracle9i Data Mining ... faster than the viii Basic ODM Concepts 1-1 1 Basic 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 Server The Data Mining...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf

Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf

Ngày tải lên : 15/03/2014, 09:20
... positive instances covered by both R0 and R1 p0: number of positive instances covered by R0 n0: number of negative instances covered by R0 p1: number of positive instances covered by R1 n1: number of ... negative instances covered by R1 © Tan,Steinbach, Kumar Introduction to Data Mining 36 Instance Based Classifiers Examples: Rote-learner ã Memorizes entire training data and performs classification ... to $1M © Tan,Steinbach, Kumar Introduction to Data Mining 40 1 nearest-neighbor Voronoi Diagram © Tan,Steinbach, Kumar Introduction to Data Mining 38 Nearest-Neighbor Classifiers  Requires...
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Tài liệu Best Practices and Techniques for Building Secure Microsoft® ASP.NET Applications pdf

Tài liệu Best Practices and Techniques for Building Secure Microsoft® ASP.NET Applications pdf

Ngày tải lên : 15/01/2014, 15:59
... Corporation JoeStag@Microsoft.com JoeStag@Microsoft.com www.ManagedCode.com www.ManagedCode.com Best Practices and Best Practices and Techniques for Building Techniques for Building Secure Microsoft Secure Microsoft đ đ ASP.NET ... pages and controls Build secure pages and controls  Build secure components Build secure components  Build secure Web services Build secure Web services  Build secure data access Build secure data ... %> <%@ Page AspCompat="true" %>  Create COM objects in page event handlers Create COM objects in page event handlers Configuring Web Configuring Web Application Security Application...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Ngày tải lên : 15/03/2014, 09:20
... 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 Induction Greedy ... Tan,Steinbach, Kumar Introduction to Data Mining 3 Illustrating Classification Task © Tan,Steinbach, Kumar Introduction to Data Mining 13 Apply Model to Test Data Refund MarSt TaxInc YES NO NO NO Yes ... Attributes Training Data Model: Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining 8 Decision Tree Classification Task Decision 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

Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

Ngày tải lên : 15/03/2014, 09:20
... Specific-to-general Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar â Tan,Steinbach, Kumar Introduction to Data ... to Data Mining 49 Effect of Support Distribution Many real data sets have skewed support distribution Support 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 Comparisons Candidate 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

Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx

Ngày tải lên : 15/03/2014, 09:20
... Kumar Introduction to Data Mining 4 Handling Categorical Attributes Potential Issues What if attribute has many possible values ã Example: attribute country has more than 200 possible values ã ... pass over the sequence database D to find the support for these candidate sequences Candidate Elimination: ã Eliminate candidate k-sequences whose actual support is less than minsup © Tan,Steinbach, ... à > à + ã Z has zero mean and variance 1 under null hypothesis 2 2 2 1 2 1 ' n s n s Z + = àà © Tan,Steinbach, Kumar Introduction to Data Mining 3 Handling Categorical Attributes Transform...
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