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han kamber data mining concepts and techniques pdf download

Data Mining Concepts and Techniques phần 1 potx

Data Mining Concepts and Techniques phần 1 potx

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... 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 ... 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...
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Data Mining Concepts and Techniques phần 2 ppsx

Data Mining Concepts and Techniques phần 2 ppsx

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... 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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Data Mining Concepts and Techniques phần 3 docx

Data Mining Concepts and Techniques phần 3 docx

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... 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 ... summarized data in a data warehouse sets a solid foundation for successful data mining. Moreover, we also believe that data mining should be a human-centered process.Rather than asking a data mining ... 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...
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Data Mining Concepts and Techniques phần 4 potx

Data Mining Concepts and Techniques phần 4 potx

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... 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 ... Cercone, and Han [CCH91] and further extended by Han, Cai, and Cercone [HCC93], Han and Fu [HF96], Carter and Hamilton [CH98], and Han, Nishio, Kawano, and Wang [HNKW98]. 4.3 Attribute-Oriented Induction—An ... 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...
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Data Mining Concepts and Techniques phần 5 ppt

Data Mining Concepts and Techniques phần 5 ppt

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... R1,R1: IF age = youth AND student = yes THEN buyscomputer = yes.The“IF”-part(or left-hand side) of a rule isknown astheruleantecedentorprecondition.The “THEN”-part (or right-hand side) isthe rule ... 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 Concepts and Techniques phần 6 ppt

Data Mining Concepts and Techniques phần 6 ppt

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... functions(Hanson and Burr [HB88]), dynamic adjustment of the network topology (Me´zard and Nadal [MN89], Fahlman and Lebiere [FL90], Le Cun, Denker, and Solla [LDS90], and Harp, Samad, and Guha ... data in preparation for classification and prediction can involve data cleaning to reduce noise or handle missing values, relevance analysis to removeirrelevant or redundant attributes, and data ... described inPreparata and Shamos [PS85]. References on case-based reasoning (CBR) include thetexts Riesbeck and Schank [RS89] and Kolodner [Kol93], as well as Leake [Lea96] and Aamodt and Plazas [AP94]....
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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

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... 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 ClassifiersRequires ... 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

Oracle Data Guard Concepts and Administration

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... 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

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

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... 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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AN INTRODUCTION TO KANT’S AESTHETICS: Core Concepts and Problems pdf

AN INTRODUCTION TO KANT’S AESTHETICS: Core Concepts and Problems pdf

Mỹ thuật

... Switzerland, England, and Germany,especially on Wolff and Baumbarten (pp. 198–231). Bäumler sees the task of aesthetics (and of teleology) in explaining the individual and its irrationality and ... the understanding in judgments” and the so-called “cat-egories,” or concepts of pure understanding.” Kant has introduced these cat-egories of the understanding in the first Critique, and he uses ... and recalls what we see; and it is our understanding that triesto grasp and decide what is depicted or what it all means. In aesthetic contem-plation this is primarily enjoyable by itself and...
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More Advanced Linear Programming Concepts and Methods pdf

More Advanced Linear Programming Concepts and Methods pdf

Quỹ đầu tư

... ($M) => 180 100 80 50 7 20 $356 Formatted Problem and LP Solution For Power Gen Inc. 1Ch 12: More Advanced Linear Programming Concepts and MethodsApplying Linear Programming to Those Investments ... goals and constraints, and an appreciation of Linear Programming methodology. 5Explanations of the ‘Extension’ Ideas II. Interdependent projects: projects may provide mutual support and ... careful specifications of the goals, and imaginative definitions of the constraints.For example:Inter-Year Capital Transfers Introduce activities for borrowing and capital transfers.Contingent...
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Ethics of Big Data: Balancing Risk and Innovation pdf

Ethics of Big Data: Balancing Risk and Innovation pdf

Kỹ thuật lập trình

... “big data are based on distinctions between the capabilities of legacy database technologies and new data storage and processing techniques and tools such as Hadoop clusters, Bloom filters, and ... clusters, Bloom filters, and R data analysis tools. Big data is data too big to be handled and analyzed by traditional database protocols such as SQL (which makes big data a term that may evolve ... their current data- handling practices. Identity, ownership, and reputation would also benefit from more explicit consideration of how an organization’s values inform their data- handling practices.For...
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Creating your MySQL Database: Practical Design Tips and Techniques pdf

Creating your MySQL Database: Practical Design Tips and Techniques pdf

Kỹ thuật lập trình

... byA change in the data structureA change in the code (UI and reports)To stay exible and avoid the wide-table syndrome, we need two tables: car_event and event.ããããSimpo PDF Merge and ... enterpriseããããSimpo PDF Merge and Split Unregistered Version - http://www.simpopdf.com Simpo PDF Merge and Split Unregistered Version - http://www.simpopdf.com Simpo PDF Merge and Split Unregistered ... (35,700)Vehicle giving in exchange:brand: (Licorne)model: (Wanderer)ããããããããããããããããããããSimpo PDF Merge and Split Unregistered Version - http://www.simpopdf.com Data Collecting[...
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Báo cáo khoa học:

Báo cáo khoa học: "Hydraulic architecture of trees: main concepts and results" pdf

Báo cáo khoa học

... transpiration and soil water conditions, etc.) on theone hand and the species (distribution of the easiest pathwaysbetween a given point, injection point, and the rest of the tree)on the other hand. ... anatomy and especially on the changes withtime in the more or less integrated network of connections be-tween the roots and branches of the same tree. Recent worksof André [8, 9] and Fujii and Hanato ... internal and exter-nal to the plant. The fact that Quercus and Picea (and proba-bly most species) are operating close to the point of xylemdysfunction and that Rplantis soon and drastically...
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