data mining concepts and techniques third edition han kamber

... 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 ... 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 ... development of data collection and database creation mechanismsthat led to the development of effective mechanisms for data management including data storage andretrieval, and query and transaction

Ngày tải lên: 16/10/2021, 15:40

... KHAI THÁC DỮ LIỆU VÀ ỨNG DỤNG ĐỀ TÀI : KHAI THÁC ĐỒ THỊ DỰA TRÊN TÀI LIỆU : Data Mining: Concepts and Techniques, Jiawei Han TP.HCM – 12/2012 Trang 2Tóm tắt nội dung đồ ánĐồ thị biểu thị cho một ... 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

... 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 ... 162.3 Data Cleaning 652.3.3 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 ... The metadata may also be used to help transform the data (e.g., where data codes for pay type in one database may be “H” and “S”, and 1 and 2 in another) Hence, this step also relates to data cleaning,

Ngày tải lên: 08/08/2014, 18:22

... broader spectrum than OLAP with respect to datamining functionality and the complexity of the data handled Because data mining involves more automated and deeper analysis than OLAP,data mining is expected ... with data mining technology Data warehouses and data marts are used in a wide range of applications Businessexecutives use the data in data warehouses and data marts to perform data analysis andmake ... sense, data mining goes one step beyond traditional on-line analyticalprocessing An alternative and broader view of data mining may be adopted in which datamining covers both data description and data

Ngày tải lên: 08/08/2014, 18:22

... extended by Han, Cai, and Cercone [HCC93], Han and Fu [HF96], Carter andHamilton [CH98], and Han, Nishio, Kawano, and Wang [HNKW98] Trang 22Mining Frequent Patterns, Associations, and Correlations ... 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 ... 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

Ngày tải lên: 08/08/2014, 18:22

... assuming 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, ... training setsinclude SLIQ and SPRINT, both of which can handle categorical and continuous-valued attributes Both algorithms propose presorting techniques on disk-resident datasets that are too large ... less than the timethat would have been spent on learning from the original set of attributes Hence, suchanalysis can help improve classification efficiency and scalability.Data transformation and

Ngày tải lên: 08/08/2014, 18:22

... given data are randomly partitioned into two independent sets, a training set and a test set Typically, two-thirds of the data are allocated to the training set, and the remaining one-third is ... Kodratoff and Michalski [KM90], Shavlikand Dietterich [SD90], and Michalski and Tecuci [MT94] For a presentation of machinelearning with respect to data mining applications, see Michalski, Bratko, and ... Agrawal, and Rissanen [MAR96]), SPRINT (Shafer, Agrawal,and Mehta [SAM96]), RainForest (Gehrke, Ramakrishnan, and Ganti [GRG98]), andearlier approaches, such as Catlet [Cat91], and Chan and Stolfo

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 ... 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 ... more unlikely Data Stream Management Systems and Stream Queries In traditional database systems, data are stored in finite and persistent databases However, stream data are infinite and impossible

Ngày tải lên: 08/08/2014, 18:22

... [HSD01] to handle concept drift in time-changing data streams Wang, Fan, Yu, and Han proposed an ensemble classifier to mineconcept-drifting data streams [WFYH03] Aggarwal, Han, Wang, and Yu developed ... Yan, and Han[CYH05] A method for parallel mining of closed sequential patterns was proposedby Cong, Han, and Padua [CHP05] Data mining for periodicity analysis has been an interesting theme in data ... been proposed by Chandrasekaran and Franklin[CF02], Gehrke, Korn, and Srivastava [GKS01], Dobra, Garofalakis, Gehrke, and Ras-togi [DGGR02], and Madden, Shah, Hellerstein, and Raman [MSHR02]

Ngày tải lên: 08/08/2014, 18:22

... multimedia data mining focuses on image data mining.Mining text data and mining the World Wide Web are studied in the two subsequent Trang 13sections Here we introduce multimedia data mining methods, ... 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 ... 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

Ngày tải lên: 08/08/2014, 18:22

... Applications and Trends in Data Miningand data security–enhancing techniques Data security–enhancing techniques and otherissues relating to privacy were discussed in Walstrom and Roddick [WR01] Data miningfor ... 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 ... 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

... Case-Based Data Mining Platform 29 Data mining practice in industry heavily depends on experienced data mining professionals to provide solutions For the rarity of data mining professionals, data mining ... these meaningful and comparable attributes Data mining task is attached on the data mining system to retrieve similar data mining cases It is also the third extension to generic data mining model ... of the complexity of data mining process and data mining tools In this paper, we propose a case-based data mining platform, which reuses the knowledge captured in past data mining cases to semi-automatically

Ngày tải lên: 23/10/2019, 16:13

... Case-Based Data Mining Platform 29 Data mining practice in industry heavily depends on experienced data mining professionals to provide solutions For the rarity of data mining professionals, data mining ... these meaningful and comparable attributes Data mining task is attached on the data mining system to retrieve similar data mining cases It is also the third extension to generic data mining model ... of the complexity of data mining process and data mining tools In this paper, we propose a case-based data mining platform, which reuses the knowledge captured in past data mining cases to semi-automatically

Ngày tải lên: 05/11/2019, 14:12

... 0}; the same is true between times 3.1 and 3.3, between times 3.8 and 4.0, and between times 4.9 and 5.6, Between times 3.3 and 3.8, however, the times 0 and 0.4 To compute 4(n), we must first ... interarrival times A,, A,, and the service times by F, and F, respectively (In general, F, and F; would be determined by collecting data from the system of interest and then specifying distributions ... language-independent organization and logic of the FORTRAN and Sec 1.4.6, and Sec 1.4.7 alters the stopping rule to another common way to end sim- fying the event and variable structure of a simulation

Ngày tải lên: 12/05/2014, 05:42

... disk" and "diskette" interchangeably.) The PD765 has 16 commands, each specified byloading between 1 and 9 bytes into a device register These commands are for reading and writing data,moving ... Network) to a file server on which all programs and data are stored An administrator then has toinstall and protect only one set of programs and data, and can easily reinstall local software on a ... becoming bloated, slow,and unreliable They crash far more often than other electronic devices such as televisions, cell phones, andDVD players and have so many features and options that practically

Ngày tải lên: 12/08/2014, 22:21

... possible to handle them all For example, if there are m periodic events and event i occurs with period Pi and requires Ci seconds of CPU time to handle each event, then the load can only be handled ... interrupt handling, the low-level mechanics of managing context switches between processes (saving and restoring registers and the like), and low-level parts of manipulatingthe MMU hardware By and ... schedules processes and manages the transitions between the ready, running, and blocked states of Fig 2-2 The kernel also handles all messages between processes Message handling requires checking

Ngày tải lên: 12/08/2014, 22:21

... Physical Standby and Cascaded Remote Physical Standby C-5 C.3.2 Local Physical Standby and Cascaded Remote Logical Standby C-5 C.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 Databases New Features Common to Physical and Logical Standby Databases The...

Ngày tải lên: 26/10/2013, 22:15

... faster than the viii Basic ODM Concepts 1-1 1 Basic 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 Server The Data Mining ... main components: ■ Oracle9i Data Mining API ■ Data Mining Server (DMS) 1.2.1 Oracle9i Data Mining API The Oracle9i Data Mining API is the component of Oracle9i Data Mining that allows users to...

Ngày tải lên: 06/11/2013, 01:15

... understanding of mental disorders that offers new hope to the mentally ill and their families in all countries and all societies . . . It examines the scope of prevention and the availability of, and ... one hand it is deemed to be a mental dis- order. On the other hand in some crimes, such as dangerous driving, the intoxicated driver is typically treated much more harshly, by the courts, than ... countries, between the group, the changes in the psychic structures of its individual members and the thoughts and institutions that are a product of that society, and that have, as a whole, a formative...

Ngày tải lên: 15/02/2014, 02:20

... discussion of desert in Chapter 4 of this edition. For final proofreading and indexing of this edition, I owe thanks to Eduardo Salazar and Fernando Serrano. This edition features an updating of material ... proportional punishment are needed, and I provide and explore the plausibility of a number of such candidate principles. A handful of such principles are articulated, discussed and some are accepted as ... attempting to act wrongfully and harm others, and that she has done so intentionally, knowingly, and voluntarily. And it is the extent to which she acts in these ways that she may and ought to be punished...

Ngày tải lên: 18/02/2014, 14:20