data mining concepts and techniques 2011 pdf
Data Mining Concepts and Techniques phần 1 potx
... 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 ... object-relational databases and specific application-oriented databases, such as spatial databases, time-series databases,text databases, and multimedia databases. The challenges and techniques of mining ... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider WorldMalcolm Chisholm Data Mining: Concepts and Techniques Jiawei Han and Micheline KamberUnderstanding SQL and Java...
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Data Mining Concepts and Techniques phần 2 ppsx
... 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, ... approximation of 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 ... 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...
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Data Mining Concepts and Techniques phần 3 docx
... processing, and data mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm thatintegrates OLAP with data mining technology.3.5.1 Data Warehouse Usage Data warehouses and data ... Warehouse and OLAP Technology: An Overview3.5From Data Warehousing to Data Mining “How do data warehousing and OLAP relate to data mining? ” In this section, we study theusage of data warehousing ... 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...
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Data Mining Concepts and Techniques phần 4 potx
... include data cube–based data aggregation and attribute-oriented induction.From a data analysis point of view, data generalization is a form of descriptive data mining. Descriptive data mining ... mining describes data in a concise and summarative manner and presents interesting general properties of the data. This is different from predic-tive data mining, which analyzes data in order to ... way, theproblem of mining frequent patterns in databases is transformed to that of mining theFP-tree. 228 Chapter 5 Mining Frequent Patterns, Associations, and Correlationsdatabases. We begin...
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Data Mining Concepts and Techniques phần 5 ppt
... to as training tuples and are selected from the database under analysis. In thecontext of classification, data tuples can be referred to as samples, examples, instances, data points, or objects.2Because ... scalability.While both SLIQandSPRINThandle disk-resident data sets thatare too large to fit intomemory, the scalabilityof SLIQ islimited by the useof its memory-residentdatastructure.SPRINT removes ... even for real-world data. RainForest has techniques, however, for handlingthe case where the AVC-group does not fit in memory. RainForest can use any attributeselection measure and was shown 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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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 Data Streams Models and Algorithms- P6 pdf
... purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com ... purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com ... purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com...
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ISAT Sample Book 5: Sample Items for Reading and Mathematics 2011 pdf
... I squeeze myhands even tighter and almost close my eyes.35 Craaack!36 The ball sails high over Amanda’s head. Amanda stands there with her mouthhanging open, watching it go. And the fielders—for ... ONMathematics 2011 ISAT Grade 5 Sample BookXIJ321 XIJ321.AR1Which streets on this mapappear to never intersect?ATalley and FranklinB Starlight and PierceC Franklin and Holloway≥D Holloway and ... longis Field Day?A5 hours and 25 minutes≥B 5 hours and 35 minutesC 6 hours and 25 minutesD 6 hours and 35 minutes118910IL523881_Gr5_SB 8/12/10 9:41 AM Page 41 2011 ISAT Grade 5 Sample...
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Tips and techniques guide pdf
... obvious to me. Tips and techniques guide Blending Stumps, Tortillions, Torchillons, Paper towels, and sometimes Q-tips and make-up sponges. Many of the techniques would require ... make both the holders and the refills. Go to [link]There are a wide range of darks and lights, but I use only the middle range. Rarely 2H and H, a lot of F, HB and 80% B and 2B. I have the following, ... different sizes for both tight spots and large areas. Again, layering is the key. When a Blending Stump gets too much graphite on it, it tends to get slick and shiny, and stops blending. To extend...
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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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