E learning concepts and techniques

Data Mining Concepts and Techniques phần 1 potx

... Applications 657 11 .1. 6 Data Mining for Intrusion Detection 658 xvii xviii Contents 11 .2 11 .3 11 .4 11 .5 11 .6 Appendix Data Mining System Products and Research Prototypes 11 .2 .1 How to Choose a Data Mining ... 6 41 Exercises 642 Bibliographic Notes 645 Chapter 11 Applications and Trends in Data Mining 649 11 .1 Data Mining Applications 649 11 .1. 1 Data Mining for Financial Data Analysis 649 11 .1. 2 Data ... Audio Data Mining 667 11 .3.4 Data Mining and Collaborative Filtering 670 Social Impacts of Data Mining 675 11 .4 .1 Ubiquitous and Invisible Data Mining 675 11 .4.2 Data Mining, Privacy, and Data...

Data Mining Concepts and Techniques phần 2 ppsx

... 10, 10, 10, 10, 12, 14, 14, 14, 15, 15, 15, 15, 15, 15, 18, 18, 18, 18, 18, 18, 18, 18, 20 , 20 , 20 , 20 , 20 , 20 , 20 , 21 , 21 , 21 , 21 , 25 , 25 , 25 , 25 , 25 , 28 , 28 , 30, 30, 30 Chapter Data Preprocessing ... means: Bin 1: 9, 9, Bin 2: 22 , 22 , 22 Bin 3: 29 , 29 , 29 Smoothing by bin boundaries: Bin 1: 4, 4, 15 Bin 2: 21 , 21 , 24 Bin 3: 25 , 25 , 34 Figure 2. 11 Binning methods for data smoothing Binning: ... smoothing techniques: 2. 3 Data Cleaning 63 Sorted data for price (in dollars): 4, 8, 15, 21 , 21 , 24 , 25 , 28 , 34 Partition into (equal-frequency) bins: Bin 1: 4, 8, 15 Bin 2: 21 , 21 , 24 Bin 3: 25 , 28 ,...

Data Mining Concepts and Techniques phần 3 docx

... Computation and Data Generalization c3 c1 31 30 29 48 47 46 45 c2 64 63 62 61 32 C 60 c0 b3 b2 44 13 14 15 16 40 24 b0 52 36 B b1 56 28 20 a0 a1 a2 a3 A Figure 4 .3 A 3- D array for the dimensions A, B, and ... corporate data model Figure 3. 13 A recommended approach for data warehouse development 134 Chapter Data Warehouse and OLAP Technology: An Overview 3. 3 .3 Data Warehouse Back-End Tools and Utilities Data ... data warehousing technology 3. 3.4 Metadata Repository Metadata are data about data When used in a data warehouse, metadata are the data that deﬁne warehouse objects Figure 3. 12 showed a metadata...

Data Mining Concepts and Techniques phần 4 potx

... include data cube–based data aggregation and attributeoriented induction From a data analysis point of view, data generalization is a form of descriptive data mining Descriptive data mining describes ... pattern mining has become an important data mining task and a focused theme in data mining research In this chapter, we introduce the concepts of frequent patterns, associations, and correlations, and ... graphs is popular in data analysis Such graphs and curves can represent 2-D or 3-D data Example 4. 24 Bar chart and pie chart The sales data of the crosstab shown in Table 4. 15 can be transformed...

Data Mining Concepts and Techniques phần 5 ppt

... w24 x2 w 25 w56 w34 x3 w 35 Figure 6.18 An example of a multilayer feed-forward neural network Table 6.3 Initial input, weight, and bias values x1 x2 x3 w14 w 15 w24 w 25 w34 w 35 w46 w56 θ4 5 θ6 1 ... 0.1 1/(1 + e−0.1 ) = 0 .52 5 (−0.3)(0.332) − (0.2)(0 .52 5) + 0.1 = −0.1 05 1/(1 + e0.1 05 ) = 0.474 and propagated backward The error values are shown in Table 6 .5 The weight and bias updates are shown ... assuming a small data size Recent data mining research has built on such work, developing scalable classiﬁcation and prediction techniques capable of handling large disk-resident data In this chapter,...

Data Mining Concepts and Techniques phần 6 ppt

... senior senior junior 31 35 26 30 31 35 21 25 31 35 26 30 41 45 36 40 31 35 46K 50K 26K 30K 31K 35K 46K 50K 66 K 70K 46K 50K 66 K 70K 46K 50K 41K 45K 30 40 40 20 ... 1.0 6. 16 Summary 373 1.0 true positive rate 0.8 0 .6 0.4 0.2 0.0 0.0 0.2 0.4 0 .6 0.8 1.0 false positive rate Figure 6. 33 The ROC curves of two classiﬁcation models 6. 16 Summary Classiﬁcation and ... Carbonell, and Mitchell [MCM83,MCM 86] , Kodratoff and Michalski [KM90], Shavlik and Dietterich [SD90], and Michalski and Tecuci [MT94] For a presentation of machine learning with respect to data mining...

Data Mining Concepts and Techniques phần 7 ppsx

... basic concepts and techniques of data mining The techniques studied, however, were for simple and structured data sets, such as data in relational databases, transactional databases, and data ... as a major data mining function (b) An application that takes clustering as a preprocessing tool for data preparation for other data mining tasks 7. 13 Data cubes and multidimensional databases ... telecommunications data, transaction data from the retail industry, and data from electric power grids Traditional OLAP and data mining methods typically require multiple scans of the data and are therefore infeasible...

Data Mining Concepts and Techniques phần 8 potx

... substructures Metadata mining Metadata are data about data Metadata provide semi-structured data about unstructured data, ranging from text and Web data to multimedia databases It is useful for data integration ... York 5 58 Chapter Graph Mining, Social Network Analysis, and Multirelational Data Mining state and Ohio, and led to widespread power blackouts in many parts of the Northeastern United States and ... your code and some examples Bibliographic Notes Stream data mining research has been active in recent years Popular surveys on stream data systems and stream data processing include Babu and Widom...

Data Mining Concepts and Techniques phần 9 pot

... multimedia data mining focuses on image data mining Mining text data and mining the World Wide Web are studied in the two subsequent 608 Chapter 10 Mining Object, Spatial, Multimedia, Text, and Web Data ... hypertext, and multimedia Thus, mining complex types of data, including object data, spatial data, multimedia data, text data, and Web data, has become an increasingly important task in data mining ... multidimensional analysis and mining of complex data objects, spatial data mining, multimedia data mining, text mining, and Web mining Zaniolo, Ceri, Faloutsos, et al [ZCF+ 97 ] present a systematic...

Data Mining Concepts and Techniques phần 10 pot

... the benefits of data mining in terms of time and money savings and the discovery of new knowledge 11.5 Trends in Data Mining The diversity of data, data mining tasks, and data mining approaches ... content mining, Weblog mining, and data mining services on the Internet will become one of the most important and flourishing subfields in data mining Distributed data mining: Traditional data mining ... mining) , the integration of data mining with data warehousing and database systems, the standardization of data mining languages, visualization methods, and new methods for handling complex data...

E learning tools and technologies phần 1 pot

... let others do? 10 Now what? 12 TYPES OF E- LEARNING AND THE TECHNOLOGIES REQUIRED 13 Learner-led e- learning 14 Facilitated e- learning 16 Instructor-led e- learning 18 Embedded e- learning 20 Telementoring ... LEARNER-LED E- LEARNING Learner-led e- learning aims to deliver highly effective learning experiences to independent learners It is sometimes called standalone or self-directed e- learning Content ... browser and, hence, does not require special software Types of e- learning and the technologies required Technology needed for facilitated e- learning 18 Types of e- learning and the technologies required...

E learning tools and technologies phần 2 ppt

... case, you need to request several static IP addresses from your ISP You need one for the modem/router between your Web server and the Internet You need one for your Web server as well as one for ... Tools and Technologies Headphones Most people taking e- learning prefer to so privately They don’t want to share the experience with the whole office Their cubicle neighbors likewise appreciate the ... Publishing, Inc E- learning Tools and Technologies Hardware for e- learning 65 Chapter on Web server software discusses the relationship between server hardware and software for offering e- learning WHAT...

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