data mining concepts and techniques chapter 11 ppt

... a small data size Recent data mining research has built onsuch work, developing scalable classification and prediction techniques capable of han-dling large disk-resident data In this chapter, ... analysis, and clustering Data cleaning, relevance analysis (in the form of correlation analysis and attributesubset selection), and data transformation are described in greater detail in Chapter ... chapter with respect to the various cation and prediction methods presented Recent data mining research has contributed classifi-to the development of scalable algorithms for classification and

Ngày tải lên: 08/08/2014, 18:22

... Michalski,Carbonell, and Mitchell [MCM83,MCM86], Kodratoff and Michalski [KM90], Shavlikand Dietterich [SD90], and Michalski and Tecuci [MT94] For a presentation of machinelearning with respect to data mining ... be found in Quinlan and Rivest [QR89], Mehta, Agrawal, andRissanen [MRA95], and Rastogi and Shim [RS98] Other methods include Niblett andBratko [NB86], and Hosking, Pednault, and Sudan [HPS97] ... functions(Hanson and Burr [HB88]), dynamic adjustment of the network topology (Me´zardand Nadal [MN89], Fahlman and Lebiere [FL90], Le Cun, Denker, and Solla [LDS90],and Harp, Samad, and Guha [HSG90] ), and

Ngày tải lên: 08/08/2014, 18:22

... pattern mining has become an important data mining task and a focusedtheme in data mining research In this chapter, we introduce the concepts of frequent patterns, associations, and relations, and ... 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 describes ... thousands) of TVs and computers sold at AllElectronics in 2004 Trang 11216 Chapter 4 Data Cube Computation and Data GeneralizationTable 4.21 A crosstab for the total number (count) of TVs and

Ngày tải lên: 08/08/2014, 18:22

... basic concepts and techniques of data mining The techniques studied, however, were for simple and structured data sets, such as data in relationaldatabases, transactional databases, and data warehouses ... 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 ... classification, and clustering) andhow to develop new ones to cope with complex types of data We start off, in this chapter, min-by discussing the mining of stream, time-series, and sequence data Chapter

Ngày tải lên: 08/08/2014, 18:22

... retrieval and multidimensional indexing methods, should be integrated with data generalization and data mining techniques to achieve satisfactory results Techniques for mining such data are further ... Text, and Web Data Our previous chapters on advanced data mining discussed how to uncover knowledge from stream, time-series, sequence, graph, social network, and multirelational data In this chapter, ... on database systems, especially on object-oriented and object-relational database systems 591 592 Chapter 10 Mining Object, Spatial, Multimedia, Text, and Web Data One step beyond the storage and

Ngày tải lên: 08/08/2014, 18:22

... in spatial databases Such mining demands an integration of data mining with spatial database technologies It can be used for standing spatial data, discovering spatial relationships and relationships ... spatial data mining techniques due to the huge amount under-of spatial data and the complexity of spatial data types and spatial access methods “What about using statistical techniques for spatial data ... sensing data, and computer tomography It is important to explore data mining in raster or image databases Methodsfor mining raster and image data are examined in the following section regarding themining

Ngày tải lên: 08/08/2014, 18:22

... biological data mining,mining software bugs, Web mining, distributed and real-time mining, graph mining,social network analysis, multirelational and multidatabase data mining, data privacyprotection, and ... theory, and inductivedatabases com-Visual data mining integrates data mining and data visualization in order to discover implicit and useful knowledge from large data sets Forms of visual data mining ... constraint-basedmining), the integration of data mining with data warehousing and database systems,the standardization of data mining languages, visualization methods, and new meth-ods for handling complex data

Ngày tải lên: 08/08/2014, 18:22

... HUỲNH TRỌNG NHÂN–09DH11181 TRẦN BÌNH AN – VƯU VĨNH PHÚC-ĐỒ ÁN MÔN HỌC KHAI THÁC DỮ LIỆU VÀ ỨNG DỤNG ĐỀ TÀI : KHAI THÁC ĐỒ THỊ DỰA TRÊN TÀI LIỆU : Data Mining: Concepts and Techniques, Jiawei ... thể được khám phá bởi sự giữa chúng với phương pháp khai thác mẫu đồ thị Trang 3Chương 9:Graph Mining9.1 Khai thác đồ thị. Đ th ngày càng tr nên quan tr ng trong vi c mô hình hóa các c u trúc ... sinh ản, và phân tích Web nhu c u phân tích các d li u có c u trúc ngày càng tăng và vì v y graph mining tr ệc mô hình hóa các cấu trúc phức ấu trúc phức ập chỉ mục video, thu hồi văn bản, và phân

Ngày tải lên: 12/11/2015, 13:20

... loose andtight coupling alter-14 Describe three challenges to data mining regarding data mining methodology and user interaction issues.Answer: Challenges to data mining regarding data mining ... fol-of background knowledge, data mining query languages and ad hoc data ing, presentation and visualization of data mining results, handling noisy or incomplete data, and patternevaluation Below ... evolving field like data mining, it is difficult to compose “typical” exercises and even more difficult to work out “standard” answers Some of the exercises in Data Mining: Concepts and Techniques are

Ngày tải lên: 16/10/2021, 15:40

... measuressecondary (Chorus and Mur 1999) cyanobac-11.2.3 W ETLANDS Artificial ponds, lagoons, and wetlands are widely used for nutrient reduction inwastewater treatment, in urban runoff, and in rivers draining ... contain landwith a wide range of ownership, including land totally owned and managed by thewater utility, national parks, leasehold land, freehold land used for farming, smallurban areas, and isolated ... opposition and noncooperation from landholders Chorus and Mur (1999) indicatethat cooperation has been most effective in Germany when the land is owned by thewater supply agency and the landholders

Ngày tải lên: 11/08/2014, 17:22

... shown in the righthand diagram of Figure 11.17 Table 11.5 summarizes the voltages and currents in the cutoff, active, and saturationregions Trang 24❘❙❚ EXAMPLE 11.13 Figure 11.18 shows an NPN ... called AND-OR-INVERT Normally this requires at leasttwo types of logic gate—AND and NOR The wired-AND configuration can synthesizeany size of AND-OR-INVERT network using only NAND gates.The wired-AND ... maximum and minimum values Note that IIHand IILare shown in Figure 11.2 as flowing in opposite directions, as are IOHand IOL On a data sheet, a current entering a gate is indicated as positive and

Ngày tải lên: 14/08/2014, 10:22

... Trang 1Concepts and CalculationsEgler • Booth Trang 3Learning ObjectivesWhen you have successfully completed Chapter 11, you will have mastered skills to be ... between overhead expenses and income earned from sales To calculate a profit you subtract the pharmacy’s overhead costs from the income earned from sales Trang 11Review and PracticeProfits Annual ... $4.00 and $1.00 (1 dollar bill) to equal the total amount the patient gave you of Trang 40and Correct Change (con’t)Example: Determine the total correct cost of the prescription(s) and the

Ngày tải lên: 24/05/2017, 22:02

... Reasons for Motivating Salespeople Trang 4Expand Visibility of Sales Increase Sales Revenue Enhance Company Credibility Build the Brand 43.9% 66.1% 31.9% 29.8% Trang 5Credibility Build the Brand Most Successful Least Successful ... Overcome Objections Introduce New Products WORKING WITH ORDERS Write orders Expedite orders Handle back orders Find last orders Handle shipping problems PRODUCT SERVICING Learn about product  Test equipment ... Set quotas at challenging levels and attach great  significance to attainment  What salespeople say will likely differ from what  they do. Trang 44Used by 168 Firms Type of Award Percentage of Firms Using Selected Merchandise

Ngày tải lên: 05/11/2020, 02:39

... Theory, Concepts and Models Bob McKercher and Bruce Prideaux Tourism Theories, Concepts and Models by McKercher and Prideaux © Goodfellow Publishers 2021 Trang 2Tourism Concepts, Theories and Models ... and Models © Bob McKercher and Bruce Prideaux All rights reserved 2021Chapter 11: Sociological and Anthropological Concepts in Tourism Trang 3Learning Objectives• Understand tourism as a quest for ... world Tourism Theories, Concepts and Models by McKercher and Prideaux © Goodfellow Publishers 2021 Trang 6Contributions and limitations of Boorstin• Contributions withstand a certain amount of

Ngày tải lên: 21/10/2022, 18:45

... greatest common divisor of a and b if c is a divisor of a and of b • and any divisor of a and b is a divisor of c • We also define gcd(0, 0) = 0 • State that two integers a and b are relatively prime ... Trang 21GCD(1160718174, 316258250)Dividend Divisor Quotient Remainder a = 1160718174 b = 316258250 q1 = 3 r1 = 211943424 b = 316258250 r1 = 211943424 q2 = 1 r2 = 104314826 r1 = 211943424 r2 ... (b mod n)] mod n [(11 mod 8) + (15 mod 8)] mod 8 = 10 mod 8 = (11 + 15) mod 8 = 26 mod 8 = 2 [(11 mod 8) – (15 mod 8)] mod 8 = –4 mod 8 = (11 – 15) mod 8 = –4 mod 8 = 4 [(11 mod 8) x (15 mod

Ngày tải lên: 20/09/2020, 13:59

... 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, ... approximation of the original data. PCA is computationally inexpensive, can be applied to ordered and unordered attributes, and can handle sparse data and skewed data. Multidimensional data of more than ... 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...

Ngày tải lên: 08/08/2014, 18:22

... 152 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, ... 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...

Ngày tải lên: 08/08/2014, 18:22

... company as a whole (Chapters 9 and 10), and finally, shareholder value creation concepts, such as total shareholder return, economic value added, and so forth (Chapters 11 and 12). As we’ll see, ... economic value and long-term viability. In fact, creation of shareholder value and cash flow patterns—achieved and expected—are inseparable concepts. As we take up the analytical concepts and tools ... any economic analysis. In Chapter 3, we’ll discuss the formal ways of tracking and analyzing overall resource flow patterns and their cash impact. In Chapters 7, 8, 11, and 12 we’ll show how the...

Ngày tải lên: 01/07/2014, 22:20