data mining concepts and techniques ppt by han and kamber
Data Mining Concepts and Techniques phần 5 ppt
... 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 ... satisfied) and that the rule covers the tuple.A rule R can be assessed by its coverage and accuracy. Given a tuple, X, from a class-labeled data set, D, let ncoversbe the number of tuples covered by ... 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...
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Data Mining Concepts and Techniques phần 6 ppt
... 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 ... Freund, and Girosi[OFG97], and CB-SVM, a microclustering-based SVM algorithm for large data sets, by Yu, Yang, and Han [YYH03].Many algorithms have been proposed that adapt association rule mining ... associative classification was proposed by Liu,Hsu, and Ma [LHM98]. A classifier, using emerging patterns, was proposed by Dong and Li [DL99] and Li, Dong, and Ramamohanarao [LDR00]. CMAR (Classificationbased...
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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 ... 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
... inexpensive, can be applied to ordered and unorderedattributes, and can handle sparse data and skewed data. Multidimensional data of more than two dimensions can be handled by reducing the problem to twodimensions. ... 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
... 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 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...
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Data Mining Concepts and Techniques phần 4 potx
... sets of data. The attribute-oriented induction methoddescribed in this chapter was first proposed by Cai, Cercone, and Han [CCH91] and further extended by Han, Cai, and Cercone [HCC93], Han and Fu ... 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 ... techniques: data focusing, data generalization by attribute removal or attribute generalization, count and aggregate value accumulation,attribute generalization control, and generalization data...
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Data Mining Concepts and Techniques phần 7 ppsx
... efficiently. 8 Mining Stream, Time-Series, and Sequence Data Our previous chapters introduced the basic concepts and techniques of data mining. The techniques studied, however, were for simple and structured ... structured data sets, such as data in relationaldatabases, transactional databases, and data warehouses. The growth of data in variouscomplex forms (e.g., semi-structured and unstructured, spatial and ... telecommu-nications data, transaction data from the retail industry, and data from electric powergrids. Traditional OLAP and data mining methods typically require multiple scans ofthe data and are therefore...
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Who Cares About Wildlife Social Science Concepts for Exploring Human Wildlife Relationships and Conservation Issues by Michael J Manfredo_9 ppt
... executing Dataplot commands. Across thebottom is a command entry window where commands can be typed in. Data Analysis Steps Results and ConclusionsClick on the links below to start Dataplot and runthis ... 0.12493.5.2.1. Background and Data http://www.itl.nist.gov/div898/handbook/ppc/section5/ppc521.htm (5 of 7) [5/1/2006 10:18:11 AM] Box Plot by DayThe following is a box plot of the diameter by day.ConclusionsFrom ... Conclusionshttp://www.itl.nist.gov/div898/handbook/ppc/section5/ppc515.htm [5/1/2006 10:18:02 AM] 3 3 2 7 0.1235 3 3 2 8 0.1242 3 3 2 9 0.1247 3 3 2 10 0.1253.5.2.1. Background and Data http://www.itl.nist.gov/div898/handbook/ppc/section5/ppc521.htm...
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Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i Data
... ComponentsOracle9i Data Mining has two 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 ... 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...
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Tài liệu OPTICAL COMMUNICATION THEORY AND TECHNIQUES ppt
... was originally driven by the observation of the numerical resultsobtained in [2], and proved to be exact, as shown in the following. By writingthe kernel as where: and by substituting (11) into ... University by National Science Foundation Grant ECS-0335013 and at National Taiwan University by National Science Council of R.O.C. Grant NSC-92-2218-E-002-034. Modulation and Detection Techniques ... and quadrature field components). Based onFig. 2, at spectral efficiencies below 1 b/s/Hz per polarization, 2-PAM (OOK) and 2-DPSK are attractive techniques. Between 1 and 2 b/s/Hz, 4-DPSK and...
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Tài liệu Báo cáo khoa học: Expression and secretion of interleukin-1b, tumour necrosis factor-a and interleukin-10 by hypoxia- and serum-deprivation-stimulated mesenchymal stem cells Implications for their paracrine roles ppt
... expression and secre-tion of IL-1b, TNF-a and IL-10 by hypoxia ⁄ SD-stimu-lated MSCs were also investigated. Our data demonstrate that MSCs-CM can inhibit cardiac fibro-blast proliferation and collagen ... 6 and 12 h. Moreover, the transcriptional induction of IL-10 by hypoxia ⁄ SD was abolished by the p38 inhibitorSB202190 but was unexpectedly augmented by the pro-teasomal inhibitor MG132 and ... visualized using an enhanced chemiluminescencedetection kit and radiographic film exposure.ELISA analysis of IL-1b, TNF-a and IL-10 secretion by MSCsThe MSCs-CM was concentrated 20 · by ultrafiltrationusing...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... positive instances covered by both R0 and R1p0: number of positive instances covered by R0n0: number of negative instances covered by R0p1: number of positive instances covered by R1n1: number of ... negative instances covered by R1 © Tan,Steinbach, Kumar Introduction to Data Mining 36 Instance Based ClassifiersExamples:Rote-learnerã Memorizes entire training data and performs classification ... 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...
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Multiprocessor Scheduling by Theory and Applications ppt
... (1985), Hillion and Proth (1989), McCormick et al. (1989), Chretienne (1991), Lei and Liu (2001), Roundy (1992), Ioachim and Soumis (1995), Lee and Posner (1997), Hanen (1994), Hanen and Munier ... in your hands can be added to a bookshelf with similar collective publications in scheduling, started by Coffman (1976) and successfully continued by Chretienne et al. (1995), Gutin and Punnen ... artificial intelligence, and industrial engineering and management. The interested reader can find many nice pearls of scheduling theory in textbooks, monographs and handbooks by Tanaev et al. (1994a,b),...
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Báo cáo khoa học: Thyroid Ca2+/NADPH-dependent H2O2 generation is partially inhibited by propylthiouracil and methimazole ppt
... results obtained by Engler et al. [4] indicate that inactivation of TPO by MMI and PTU involves a reaction between these drugs and theoxidized TPO heme group, which is produced by theinteraction ... experi-mental conditions, thiourea and MMI are more potent TPOinhibitors than PTU.H2O2-trapping effectTo further evaluate the possible mechanism of TPOinhibition by PTU, MMI and thiourea, we tested ... H2O2generation is partially inhibited by propylthiouracil and methimazoleAndrea C. Freitas Ferreira, Luciene de Carvalho Cardoso, Doris Rosenthal and Denise Pires de CarvalhoLaborato´rio...
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Who Cares About Wildlife Social Science Concepts for Exploring Human Wildlife Relationships and Conservation Issues by Michael J Manfredo_7 docx
... factor is furnace zone and we have four levels. A plot of the data and anANOVA table are given below.3.4.4. Analyzing Variance Structurehttp://www.itl.nist.gov/div898/handbook/ppc/section4/ppc44.htm ... as:The data come from two or more different sources. This type of data will often have amulti-modal distribution. This can be solved by identifying the reason for the multiple sets of data and ... theprocess.● The data were generated by a stable, yet fundamentally non-normal mechanism. For example,particle counts are non-normal by the very nature of the particle generation process. Data ofthis...
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