data mining concepts and techniques chapter 1 pdf

... potential pairwise alignments, (a) and (b), of amino acids 516 Chapter Mining Stream, Time-Series, and Sequence Data (−8) + (−8) + (? ?1) + (−8) + (5) + (15 ) + (−8) + (10 ) + (6) + (−8) + (6) = Thus ... compare and align biological sequences and discover biosequence patterns 514 Chapter Mining Stream, Time-Series, and Sequence Data Before we get into further details, let’s look at the type of data ... frequent-pattern mining in Chapter 5, mining that is performed without user- or expert-specified constraints may generate numerous patterns that are 510 Chapter Mining Stream, Time-Series, and Sequence Data

Ngày tải lên: 08/08/2014, 18:22

... 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 ... visualizer, and (multidimensional data) scatter visualizer for the visualization of data and data mining results 664 Chapter 11 Applications and Trends in Data Mining Oracle Data Mining (ODM), ... data mining products 11 .3 Additional Themes on Data Mining 11 .3 665 Additional Themes on Data Mining Due to the broad scope of data mining and the large variety of data mining methodologies,

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 ... patterns, improved handling of complex data types and stream data, real-time data mining, Web mining, and so on In addition, the integration of data mining into existing business and scientific technologies,

Ngày tải lên: 08/08/2014, 18:22

... NHÂN–09DH 111 81 TRẦN BÌNH AN – VƯU VĨNH PHÚC- ĐỒ ÁN 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 /2 012 ... V.v… 9 .1. 1 Các phương thức khai thác đồ thị phổ biến ⊆⊆ Đầu tiên ta giới thiệu khái niệm đồ thị con: Cho hai đồ thị G(V,E) G1(V1,E1) ta đồ thị G1 đồ thị G V1 V E1 e=(i,j) thuộc V G, e thuộc V1 i, ... – Bước1: Làm đồ thị cách xóa cạnh khơng thỏa mãn độ hỗ trợ (b) 15 Hình 19 : Ví dụ làm đồ thị gSpan – Step 2: Tìm tất cạnh đơn phổ biến, cạnh có độ hỗ trợ lớn {(a_5,c_3),(a_6,c _1) } => (0 ,1, a,c)

Ngày tải lên: 12/11/2015, 13:20

... satisfies 25 2.8 EXERCISES T1 T2 T3 T4 T5 T6 T7 T8 T9 Tuples T10 22 T 11 25 T12 25 T13 25 T14 25 T15 30 T16 33 T17 33 T18 33 13 15 16 16 19 20 20 21 22 T19 T20 T 21 T22 T23 T24 T25 T26 T27 33 ... two-dimensional data set: x1 x2 x3 x4 x5 A1 1. 5 1. 6 1. 2 1. 5 A2 1. 7 1. 9 1. 8 1. 5 1. 0 (a) Consider the data as two-dimensional data points Given a new data point, x = (1. 4, 1. 6) as a query, rank the database ... 25 T16 33 T12 25 T17 33 T13 25 T18 33 T14 25 T19 33 T15 30 T20 35 T 21 T22 T23 T24 T25 Cluster sampling T6 20 T7 20 T8 21 T9 22 T10 22 T1 T2 T3 T4 T5 T6 T7 T8 T9 13 15 16 16 19 20 20 21 22 young

Ngày tải lên: 16/10/2021, 15:40

... Studies 11 .1. 3 Methodological Issues 11 .2 Equity Analysis of CERCLIS and Superfund Sites 11 .2 .1 CERCLIS and Superfund Sites 11 .2.2 Hypotheses and Empirical Evidence 11 .2.3 Methodological ... and Equity Year 19 71 19 72 19 82 19 83 19 83 19 87 19 87 19 90 19 91 19 92 19 92 19 92 19 93 19 93 19 94 19 94 19 95 19 97 19 98 Event CEQ’s annual report found environmental ... .1. 3 Libertarianism 2 .1. 4 Which Theory?... Chapter 14 Trends and Conclusions 14 .1 Internet-Based and Community-Based Tools 14 .1. 1 EPA’s Environfacts 14 .1. 2 LandView™ III 14

Ngày tải lên: 11/08/2014, 06:22

... Reduction 216 11 .2 .1 Reduction to Inflow 216 11 .2.2 Phosphorus Stripping 217 11 .2.3 Wetlands 217 11 .2.4 Low-Flow Effects 218 11 .2.5 Agricultural Land 219 11 .3 Catchment Management 220 TF1 713 _C000.fm ... Microcystins and Nodularins 19 7 10 .10 .1 Polyclonal Antibodies 19 7 10 .10 .2 Monoclonal Antibodies 19 9 10 .10 .3 Phage Library Antibodies 19 9 10 .10 .4 Immunofluorimetric Assays 19 9 10 .11 Protein Phosphatase ... Sediment Capping, and Dredging 226 11 .9 Algicides 227 11 .9 .1 Copper 227 11 .9.2 Problems with the Use of Copper 227 11 .9.3 Oxidants and Herbicides 229 11 .10 Biological Remediation 229 11 .10 .1 Fish Population

Ngày tải lên: 11/08/2014, 17:22

... Application Part 18 5 11 .1. 1 Addressing in TCAP 18 6 11 .1. 2 The Internal Structure of TCAP 18 7 11 .1. 3 Coding of Parameters and Data in TCAP 18 9 11 .1. 4 TCAP Messages Used in GSM 19 8 11 .2 Mobile Application ... Connection 16 7 10 The A-Interface 17 1 10 .1 Dimensioning 17 1 10 .2 Signaling Over the A-Interface 17 3 10 .2 .1 The Base Station Subsystem Application Part 17 3 10 .2.2 The Message Structure of the BSSAP. 17 4 ... Application Part 208 11 .2 .1 Communication Between MAP and its Users 209 11 .2.2 MAP Services 211 11 .2.3 Local Operation Codes of the Mobile Application Part 214 Contents ix 11 .2.4 Communication

Ngày tải lên: 13/08/2014, 02:21

... 14 011 1 011 1 011 1 011 1 23 ... equivalents d 011 0 011 0 011 0 011 0 011 0 011 0 011 0 011 0 1. 16 a 1A0H c FFFH g C000H d 10 00H 1. 17 f D3B4H h 30BAFH c 11 11 1 11 1 0000000 011 11 1 11 1 ... 11 1 11 1 11 1 11 1 11 e F3C8H b 10 AH a 11 0 011 11 0 011 1 011 000000 011 011 010 1 Convert the following decimal numbers to their hexadeci- e 011 1 011 010 011 010 010 11 0 10 011 1 011 10 1. ... 011 11 1 1 011 010 11 0 10 00 011 0000 0 011 0 011 0 011 0 011 0 011 0 011 0 011 0000000 011 11 1 11 1 0000000 011 11 1 011 1 011 1 011 1 011 1 011 1 011 1 011 The time between two bits is always

Ngày tải lên: 14/08/2014, 10:22

... ©2 010  by the McGraw­Hill Companies, Inc All Rights Reserved 1? ?60 1? ? 61 Review? ?and? ?Practice Add or subtract the following pair  of numbers: 13 .5 61? ?+ 0.099 Answer ? ?13 .66 16 .250 –? ?1. 625 Answer ? ?14 .625 McGraw­Hill  ©2 010  by the McGraw­Hill Companies, Inc All Rights Reserved ... ©2 010  by the McGraw­Hill Companies, Inc All Rights Reserved 1? ?58 Review? ?and? ?Practice Convert decimals to fractions or  mixed number: 1. 2 Answer 10 0.4 Answer McGraw­Hill  1 or 10 10 0 or 10 0 10 ... ©2 010  by the McGraw­Hill Companies, Inc All Rights Reserved 1? ?69 Review? ?and? ?Practice Add the following: 7.23 +? ?12 .38 Answer ? ?19 . 61 Multiply the following: 12 . 01? ?x? ?1. 005 Answer ? ?12 .07005 McGraw­Hill  ©2 010  by the McGraw­Hill Companies, Inc All Rights Reserved

Ngày tải lên: 21/01/2020, 12:10

... Understanding the Industry:  Understands the history and general trends in the industry and their implications for the future  Stays informed of and anticipates the actions of competitors and ... feelings and areas of strengths and weaknesses  Analyzes and learns from work and life experiences  Willing to continually unlearn and relearn as changing situations call for new skills and perspectives ... accomplished and the benefits that are possible  Adapts personal management style and procedures  Fosters sales force acceptance and use of selling technology Figure 1- 6: Career Paths at Procter and

Ngày tải lên: 05/11/2020, 02:36

... Theory, Concepts and Models Bob McKercher and Bruce Prideaux Tourism Theories, Concepts and Models by McKercher and Chapter 1: Theory, Concepts and Models Tourism Concepts, Theories and Models ... theory, concepts and models Tourism Theories, Concepts and Models by McKercher and What is Theory? • • • Cooper and Shindler (2 014 ) - systematically interrelated concepts, definitions and propositions ... Source: From Sutton and Staw (19 95) Tourism Theories, Concepts and Models by McKercher and Seven types of theory in tourism (Source: Smith, Xiao, Nunkoo and Tukamushaba 2 013 ) Type of Theory Key

Ngày tải lên: 21/10/2022, 18:57

... Chapter 1. Overview of Knowledge Discovery and Data Mining 1. 1 What is Knowledge Discovery and Data Mining? 1. 2 The KDD Process 1. 3 KDD and Related Fields 1. 4 Data Mining Methods 1. 5 ... books and papers used to design this course are followings: Chapter 1 is with material from [7] and [5], Chapter 2 is with [6], [8] and [14 ], Chapter 3 is with [11 ] and [12 ], Chapters 4 and 5 ... with [4], Chapter 6 is with [3], and Chapter 7 is with [13 ]. Knowledge Discovery and Data Mining 6 7 Chapter 1 Overview of knowledge discovery and data mining 1. 1 What is

Ngày tải lên: 14/08/2014, 02:21

... delivered by data mining is... and even specialized data formats, such as time and date stamps (e. g., day, month, year codes) Chapter 1 10 1. 3 1. 2.4 Benefits of data mining Consolidated ... the data store 1. 3 Benefits of data mining Figure 1. 2 Role of data mining and knowledge discovery in the three areas of enterprise excellence (Treacy and Wiersma model) 11 Customer ... techniques, concepts, and best practices, are reviewed here The primary task will be to explain data mining and the Microsoft data mining framework The chapters are as follows: 1 Introduction...

Ngày tải lên: 08/08/2014, 22:20

... 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 Ubiquitous ... Products and Research Prototypes 660 11 .2 .1 How to Choose a Data Mining System 660 11 .2.2 Examples of Commercial Data Mining Systems 663 11 .3 Additional Themes on Data Mining 665 11 .3 .1 Theoretical ... Impacts of Data Mining 675 11 .4 .1 Ubiquitous and Invisible Data Mining 675 11 .4.2 Data Mining, Privacy, and Data Security 678 11 .5 Trends in Data Mining 6 81 11. 6 Summary 684 Exercises 685 Bibliographic...

Ngày tải lên: 08/08/2014, 18:22

... get χ 2 = (250−90) 2 90 + (50− 210 ) 2 210 + (200−360) 2 360 + (10 00−840) 2 840 = 284.44+ 12 1.90+ 71. 11+ 30.48 = 507.93. For this 2 ì 2 table, the degrees of freedom are (2 1) (2 1) = 1. For 1 degree of freedom, ... approximately 10 0 f i % of the data are below or equal to the value, x i . We say “approximately” because 2.5 Data Reduction 83 25 20 15  10  5 0 1 10 11 –20 21 30 price ($) count Figure 2 .19 An equal-width ... Descriptive Data Summarization 57 6000 5000 4000 3000 2000 10 00 0 Count of items sold 40–59 60–79 80–99 10 0 11 9 12 0 13 9 Unit Price ($) Figure 2.4 A histogram for the data set of Table 2 .1. Table 2 .1 A...

Ngày tải lên: 08/08/2014, 18:22

... item, and year. 4 .1 Efficient Methods for Data Cube Computation 17 7 a 1 :3 2 b* :1 3 b 1 :2 c* :1 4 d* :1 5 c*:2 d*:2 b* :1 3 c* :1 4 BCD :1 1 root:5 1 a 2 :2 b*:2 c 3 :2 d 4 :2 d* :1 5 a 1 CD/a 1 :1 a 1 b*D/a 1 b* :1 3 d* :1 5 a 1 b*c*/a 1 b*c* :1 4 Base–Tree ... quarter year dollars sold 10 01 TV 15 10 Q4 2003 250.60 10 02 TV 23 10 Q4 2003 17 5.00 . 50 01 TV all 10 Q4 2003 45,786.08 . 15 8 Chapter 4 Data Cube Computation and Data Generalization space. ... memory. 15 2 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, ...

Ngày tải lên: 08/08/2014, 18:22

... min sup} (10 ) } (11 ) return L = ∪ k L k ; procedure apriori gen(L k 1 :frequent (k 1) -itemsets) (1) for each itemset l 1 ∈ L k 1 (2) for each itemset l 2 ∈ L k 1 (3) if (l 1 [1] = l 2 [1] ) ∧(l 1 [2] ... d 9 , d 10 ), and (3) (d 1 , d 2 , c 3 , d 4 , , d 9 , d 10 ), where a 1 = d 1 , b 2 = d 2 , and c 3 = d 3 . The measure of the cube is count. 220 Chapter 4 Data Cube Computation and Data Generalization (a) ... computer 15 0 12 00 North America computer 200 18 00 Table 4 .15 A crosstab for the sales in 2004. item TV computer both items location sales count sales count sales count Asia 15 300 12 0 10 00 13 5 13 00 Europe...

Ngày tải lên: 08/08/2014, 18:22

... on this partitioning is Gini income ∈ {low,medium} (D) = 10 14 Gini(D 1 ) + 4 14 Gini(D 2 ) = 10 14  1  6 10  2 −  4 10  2  + 4 14  1  1 4  2 −  3 4  2  = 0.450 = Gini income ∈ {high} (D). Similarly, ... O j = 1 1+e −I j ; }// compute the output of each unit j (10 ) // Backpropagate the errors: (11 ) for each unit j in the output layer (12 ) Err j = O j (1 O j )(T j −O j ); // compute the error (13 ) ... can correctly classify both tuples. Therefore, coverage(R1) = 2 /14 = 14 .28% and accuracy (R1) = 2/2 = 10 0%. 296 Chapter 6 Classification and Prediction that satisfy the test. The right branch out...

Ngày tải lên: 08/08/2014, 18:22

... follows: t = err(M 1 ) −err(M 2 )  var(M 1 −M 2 )/k , (6.68) where var(M 1 −M 2 ) = 1 k k ∑ i =1  err(M 1 ) i −err(M 2 ) i −( err(M 1 ) −err(M 2 ))  2 . (6.69) To determine whether M 1 and M 2 are ... estimated as var(M 1 −M 2 ) =  var(M 1 ) k 1 + var(M 2 ) k 2 , (6.70) and k 1 and k 2 are the number of cross-validation samples (in our case, 10 -fold cross- validation rounds) used for M 1 and M 2 , ... asymmetric binary variables. 1 2 2 3 5 4 3 3 2 1 x 2 = (3,5) x 1 = (1, 2) Euclidean distance = (2 2 + 3 2 ) 1/ 2 = 3. 61 Manhattan distance = 2 + 3 = 5 Figure 7 .1 Euclidean and Manhattan distances...

Ngày tải lên: 08/08/2014, 18:22