data mining concepts models and techniques pdf download

... technology in molecular biology and develops algorithms and methods to manage and analyze biological data Because DNA and protein sequences are essential biological data and exist in huge volumes as ... prefix b , c , d , e , and f , respectively This can be done by constructing the b -, c -, d -, e -, and f -projected databases and mining them respectively The projected databases as well as the ... items in em )em+1 · · · en 506 Chapter Mining Stream, Time-Series, and Sequence Data Table 8.2 Projected databases and sequential patterns prefix projected database sequential patterns a (abc)(ac)d(c

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 ... component of such databases can be generalized, and how the generalized data can be used for multidimensional data analysis and data mining 10.1.1 Generalization of Structured Data An important ... object-relational and object-oriented databases is their capability of storing, accessing, and modeling complex structure-valued data, such as set- and list-valued data and data with nested structures

Ngày tải lên: 08/08/2014, 18:22

... Applications and Trends in Data Mining Coupling data mining with database and/or data warehouse systems: A data mining system should be coupled with a database and/or data warehouse system, where ... standardize data mining products and to 11.2 Data Mining System Products and Research Prototypes 663 ensure the interoperability of data mining systems Recent efforts at defining and standardizing data mining ... difficulties using the data stored in database systems and handling large data sets efficiently In data mining systems that are loosely coupled with database and data warehouse systems, the data are retrieved

Ngày tải lên: 08/08/2014, 18:22

... 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 ... issues in data mining The development of efficient and effective data mining methods and systems, the construction of interactive and integrated data mining environments, the design of data mining

Ngày tải lên: 08/08/2014, 18:22

... MƠN HỌC 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 Tóm tắt nội dung đồ án Đồ thị biểu thị cho ... gom nhóm phân lớp liệu đồ thị khám phá chúng với phương pháp khai thác mẫu đồ thị Chương 9:Graph Mining 9.1 Khai thác đồ thị Đồ thị ngày trở nên quan trọng việc mơ hình hóa cấu trúc phức tạp (hợp ... lập mục video, thu hồi văn bản, phân tích Web nhu cầu phân tích liệu có cấu trúc ngày tăng graph mining trở thành nhiệm vụ quan trọng Ví Dụ: Mạng cộng tác tác giả Hình 1: Ví dụ ứng dụng đồ thị

Ngày tải lên: 12/11/2015, 13:20

... 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 ... image and signal processing, and spatial data analysis (c) Explain how the evolution of database technology led to data mining Database technology began with the development of data collection and ... from databases, statistics, and machine learning? No Data mining is more than a simple transformation of technology developed from databases, statistics, and machine learning Instead, data mining

Ngày tải lên: 16/10/2021, 15:40

... complete standard was transferred to the European Telecommunications Standard Institute (ETSI) and a memorandum of understanding (MoU) was signed... s = 32 kbit/s, a frame duration f = 16 ms, and ... rate and variable bit rate and the provision for different qualities... standards adopted by each country Table 4.1 shows these standards and some of their features, such as operating bands, ... degrading and the delay augmenting... developing a Pan-European standard for digital cellular communications The project was named GSM and the system implementing the corresponding standard,

Ngày tải lên: 14/08/2014, 06:22

... [...]... SME and SME, SME and MC, and MC and MC, which is defined in TIA/EIA/IS -41 C r Mi-Interface: The interface between MSC and PLMN r N-Interface: The interface between MC and HLR, ... Frequency allocation for the AMPS and IS-95 systems B-band also split into three segments named B, B , and B Each band is further split into equal parts, one half band for the downlink or forward ... Garg, V K and Wilkes, J E., Principles and Applications of GSM, Prentice-Hall, Englewood Cliffs, NJ, 1998 8 Redl, S., Weber, M., and Oliphant, M., GSM and Personal Communications Handbook,

Ngày tải lên: 14/08/2014, 06:22

... Set and Candidate Set. This field conveys the search window size (range of PN offsets) to be used by the mobile station to search for multipath components of the pilots in the active set and candidate ... initialized with mobile station specific information,random data, andthe A-key of themobile station (a 64-bit secret key known only to the mobile station and to its associated HLR/AC). r SYS ORDERING—System ... traffic channel, are described in terms of the messages and orders and parameters they convey and in terms of the format in which these messages and orders are encapsulated. The messages are described

Ngày tải lên: 14/08/2014, 06:22

... flag DATA: Data bits TRAIN: Training bits GUARD: Guard bits FIGURE 6. 4 GPRS radio block structures: user data and control messages;... data rate transmissions, soft handoff algorithms, and ... D-to-D handoff is tried, and if it is not successful the saved configuration is restored and no handoff is performed 5.19.5 Idle Handoff EIA/TIA/IS-95B allows the execution of idle handoffs ... 5.19.4 Hard Handoff The hard handoff process here concerns the D-to-D handoff, in which a handoff between CDMA carriers occurs In EIA/TIA/IS-95A, a D-to-D handoff is carried out via the handoff...

Ngày tải lên: 14/08/2014, 06:22

... without timing and variable bit rate without timing for connectionless-oriented net- work, and efficient link layer recovery. Handling of voice, data,andvideoby means of bothcircuit and packet communication. ... management, user registration and cancellation, security and authentication database management and control, and others. Ability to supplement mobility management and authentication con- trol ... accesses the network r Random-Access Detection and Handling This function detects the random-access initiation attempt carried out by the mobile terminal It handles the random access by responding...

Ngày tải lên: 14/08/2014, 06:22

... TFCI 2560 chips Data FIGURE 8. 9 Frame structure of PRACH slots, each slot containing a data part and a control part The data part and the control part are code-multiplexed and transmitted ... channels; addition, release, and configuration of radio links for one UE context; handling of dedicated and shared channels; handling of softer combining; initialization and reporting of radio link–specific ... user data into segment data units of predefined size and performs control procedures for initialization and rate control. In the second case, the protocol performs neither framing nor con- trol and

Ngày tải lên: 14/08/2014, 06:22

... applicable 8.13.11 Handover Procedure Intramode handover, intermode handover, and intersystem handover can be supported within UTRA Intramode Handover Intramode handover comprises the handover procedures ... each UTRA mode In UTRA FDD, soft handover, softer handover, and hard handover are supported UTRA TDD does not support soft handover (or macrodiversity) Intramode handover is heavily based... IMT-2000, ... indicators (for PICH), and as the power per transmitted status indicator (for CSICH). S-CCPCH The power of the data field power and that of the TFCI and pilot fields may be offset and the offset may

Ngày tải lên: 14/08/2014, 06:22

... Foundations of Data Mining 665 11.3.2 Statistical Data Mining 666 11.3.3 Visual and Audio Data Mining 667 11.3.4 Data Mining and Collaborative Filtering 670 11.4 Social Impacts of Data Mining 675 11.4.1 ... 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 ... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider World Malcolm Chisholm Data Mining: Concepts and Techniques Jiawei Han and Micheline Kamber Understanding SQL and Java...

Ngày tải lên: 08/08/2014, 18:22

... 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

... 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 ... 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...

Ngày tải lên: 08/08/2014, 18:22

... 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 ... 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 ... way, the problem of mining frequent patterns in databases is transformed to that of mining the FP-tree. 228 Chapter 5 Mining Frequent Patterns, Associations, and Correlations databases. We begin...

Ngày tải lên: 08/08/2014, 18:22

... to as training tuples and are selected from the database under analysis. In the context of classification, data tuples can be referred to as samples, examples, instances, data points, or objects. 2 Because ... scalability. While both SLIQandSPRINThandle disk-resident data sets thatare too large to fit into memory, the scalabilityof SLIQ islimited by the useof its memory-residentdatastructure. SPRINT removes ... even for real-world data. RainForest has techniques, however, for handling the case where the AVC-group does not fit in memory. RainForest can use any attribute selection measure and was shown to...

Ngày tải lên: 08/08/2014, 18:22

... 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 [HSG90] ), and ... complexity (Laskey and Mahoney [LM97]), have prompted the exploration of hierarchical and composable Bayesian models (Pfef- fer, Koller, Milch, and Takusagawa [PKMT99] and Xiang, Olesen, and Jensen [XOJ00]). These ... classification models. 6.16 Summary Classification and prediction are two forms of data analysis that can be used to extract models describing important data classes or to predict future data trends....

Ngày tải lên: 08/08/2014, 18:22