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3 1 introduction to data types and parameter types

Tài liệu Module 1: Introduction to Data Warehousing and OLAP pptx

Tài liệu Module 1: Introduction to Data Warehousing and OLAP pptx

Quản trị mạng

... relational data marts and OLAP cubes differ greatly in data storage, data content, data sources, data retrieval, and business analysis capabilities Data Storage Relational data marts and OLAP cubes ... Storage Data Storage Relational Relational Data Structure Data Structure N-dimensional N-dimensional Data structure Data structure Data Content Data Content Detailed and Detailed and Summarized Data ... PURPOSES ONLY Module 1: Introduction to Data Warehousing and OLAP Raw Data vs Business Information Topic Objective To describe the differences and relationships between raw data and business information...
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Tài liệu Module 1: Introduction to Exchange 2000 and the Web Storage System pdf

Tài liệu Module 1: Introduction to Exchange 2000 and the Web Storage System pdf

Chứng chỉ quốc tế

... Module 1: Introduction to Exchange 2000 and the Web Storage System 11 # Introduction to the Web Storage System Topic Objective To list the topics related to Introduction to the Web Storage System ... group stores into storage groups for easier maintenance ! Storage Groups contain Multiple Stores Storage Group A Store Store Store Store Store Transaction Log Transaction Log Storage Group B Store ... Computers 2 Module 1: Introduction to Exchange 2000 and the Web Storage System # Introduction to Exchange 2000 Topic Objective To list the topics related to introduction to Exchange 2000 ! Versions...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt

Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt

Cơ sở dữ liệu

... Placed 36 4 Foreign 34 1 260 National 2 73 36 Metro 9 43 746 Sports 738 5 73 Entertainment © Tan,Steinbach, Kumar Total Articles 555 35 4 278 Introduction to Data Mining 19 Clustering of S&P 500 Stock Data ... 2,500,000 2,000,000 1, 500,000 Total new disk (TB) since 19 95 1, 000,000 Number of analysts 500,000 19 95 19 96 19 97 19 98 19 99 © Tan,Steinbach, KumarKamath, V Kumar, Data Mining for Mining and Engineering ... over 10 0 million connections per day © Tan,Steinbach, Kumar Introduction to Data Mining 28 Challenges of Data Mining Scalability Dimensionality Complex and Heterogeneous Data Data Quality Data...
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A Practical Introduction to Structure, Mechanism, and Data Analysis - Part 3 pot

A Practical Introduction to Structure, Mechanism, and Data Analysis - Part 3 pot

Cao đẳng - Đại học

... relative to the Table 4 .1 Relationship between Kd and Gbinding for receptor ligand complexes at 25°C K (M) 10 \ (mM) 10 \ 10 \ 10 \ ( M) 10 \ 10 \ 10 \ (nM) 10 \ 10 \ 10 \ (pM) ?Calculated ... catalysis REFERENCES AND FURTHER READING Branden, C., and Tooze, J (19 91) Introduction to Protein Structure, Garland, New York Chotia, C (19 75) J Mol Biol 10 5, Copeland, R A (19 94) Methods for Protein ... Hansch, C., and Coats, E (19 70) J Pharm Sci 59, 7 31 Klapper, M H (19 77) Biochem Biophys Res Commun 78, 10 18 REFERENCES AND FURTHER READING Kyte, J., and Doolittle, R F (19 82) J Mol Biol 15 7, 10 5 Pauling,...
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INTRODUCTION TO KNOWLEDGE DISCOVERY AND DATA MINING - CHAPTER 1 pdf

INTRODUCTION TO KNOWLEDGE DISCOVERY AND DATA MINING - CHAPTER 1 pdf

Cơ sở dữ liệu

... Discovery and Data Mining Contents Preface Chapter Overview of Knowledge Discovery and Data Mining 1. 1 1. 2 1 .3 1. 4 1. 5 1. 6 1. 7 What is Knowledge Discovery and Data Mining? The KDD Process KDD and Related ... [3] , and Chapter is with [ 13 ] Knowledge Discovery and Data Mining Chapter Overview of knowledge discovery and data mining 1. 1 What is Knowledge Discovery and Data Mining? Just as electrons and ... Institute, Tokyo Medical and Dental University from 19 79 to 19 93 This database contains data of patients who suffered from meningitis and who were admitted to the department of emergency and neurology...
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INTRODUCTION TO KNOWLEDGE DISCOVERY AND DATA MINING - CHAPTER 3 pot

INTRODUCTION TO KNOWLEDGE DISCOVERY AND DATA MINING - CHAPTER 3 pot

Cơ sở dữ liệu

... Saturday mornings, is to be predicted based on other attributes of the morning in question 35 Knowledge Discovery and Data Mining Day D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 D 11 D12 D 13 D14 Outlook Sunny Sunny ... basic ID3 algorithm that address them ID3 has itself been extended to address most of these issues, with the resulting system renamed C4.5 and See5/C5.0 [12 ] 3. 3 .1 Avoiding over-fitting the data ... its parent and stop If all examples in T are negative, create a ‘N’ node with T as its parent and stop Select an attribute X with values v1, v2, …, vN and partition T into subsets T1, T2, …, TN...
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introduction to knowledge discovery and data mining chương 1 overview of knowledge discovery and data mining

introduction to knowledge discovery and data mining chương 1 overview of knowledge discovery and data mining

Cơ sở dữ liệu

... Discovery and Data Mining Contents Preface Chapter Overview of Knowledge Discovery and Data Mining 1. 1 1. 2 1 .3 1. 4 1. 5 1. 6 1. 7 What is Knowledge Discovery and Data Mining? The KDD Process KDD and Related ... [3] , and Chapter is with [ 13 ] Knowledge Discovery and Data Mining Chapter Overview of knowledge discovery and data mining 1. 1 What is Knowledge Discovery and Data Mining? Just as electrons and ... Institute, Tokyo Medical and Dental University from 19 79 to 19 93 This database contains data of patients who suffered from meningitis and who were admitted to the department of emergency and neurology...
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Tài liệu Module 1: Introduction to Change and Configuration Management Design pptx

Tài liệu Module 1: Introduction to Change and Configuration Management Design pptx

Quản trị mạng

... implementation Module 1: Introduction to Change and Configuration Management Design Overview Topic Objective To provide an overview of the module topics and objectives Introduction to Change and Configuration ... action to meet the business needs 2 Module 1: Introduction to Change and Configuration Management Design Introduction to Change and Configuration Management Topic Objective To introduce CCM, to ... Materials compact disc 13 14 Module 1: Introduction to Change and Configuration Management Design Categorize Users by Job Type Topic Objective To define the use of job types as a way of categorizing...
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Tài liệu Module 1: Introduction to Preinstalling and Deploying Microsoft Windows 2000 Professional doc

Tài liệu Module 1: Introduction to Preinstalling and Deploying Microsoft Windows 2000 Professional doc

Hệ điều hành

... Problem To keep up with customer demand, OEM system builders and organizations must be able to configure and install new computers as quickly and uniformly as possible In contrast to automated ... Module 1: Introduction to Preinstalling and Deploying Microsoft Windows 2000 Professional Business Problem To keep up with customer demand, OEM system builders and organizations must be able to configure ... UserData Computer1 = UserData [Computer1:UserData] [Computer1:UserData] FullName = DifferentNameHere FullName = DifferentNameHere Use the slide illustration to explain using an answer file and a UDF...
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Tài liệu An Introduction to Statistical Inference and Data Analysis docx

Tài liệu An Introduction to Statistical Inference and Data Analysis docx

Toán học

... (2, 3) 8 (3, 1) 4 (3, 2)9 (3, 3) 13 (4, 1) 10 (4, 2 )12 (4, 3) 19 (5, 1) 11 (5, 2)20 (5, 3) 24 (1, 4)7 (2, 4 )14 (3, 4 )18 (4, 4)25 (5, 4 )33 (1, 5 )15 (2, 5 )17 (3, 5)26 (4, 5 )32 (5, 5) 41 ... 10 5 10 5 10 7 11 1 11 2 11 2 1 13 11 4 11 5 Sums and Averages of Random Variables 11 7 6 .1 The Weak Law of Large Numbers 11 8 6.2 The Central Limit Theorem 12 0 6 .3 ... 18 1 CONTENTS 18 1 18 6 18 9 18 9 18 9 19 2 19 4 19 4 19 7 19 8 200 2 01 10 2-Sample Location Problems 10 .1 The Normal 2-Sample Location Problem 10 .1. 1 Known Variances...
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Tài liệu Module 1: Introduction to Microsoft Windows 2000 File, Print, and Web Servers pdf

Tài liệu Module 1: Introduction to Microsoft Windows 2000 File, Print, and Web Servers pdf

Hệ điều hành

... the industry-standard Lightweight Directory Access Protocol (LDAP) rather than proprietary protocols to access and change information in Active Directory 8 Module 1: Introduction to Microsoft ... Active Directory directory service that provides a way for users, and other clients in a distributed environment, to name, store, and retrieve information 10 Module 1: Introduction to Microsoft ... Directory Services Client can search the directory service and use fault-tolerant Dfs Module 1: Introduction to Microsoft Windows 2000 File, Print, and Web Servers Review Slide Objective To reinforce...
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UNIT 2. UNDERSTANDING NEEDS AND ASSESSING OPPORTUNITIES LESSON 1. INTRODUCTION TO NEEDS ANALYSIS doc

UNIT 2. UNDERSTANDING NEEDS AND ASSESSING OPPORTUNITIES LESSON 1. INTRODUCTION TO NEEDS ANALYSIS doc

Kiến trúc - Xây dựng

... organizational goals are to support radio broadcasting through local action, and offer various services to its members Understanding Needs and Assessing Opportunities - Introduction to needs analysis ... have to be completed to produce the results Understanding Needs and Assessing Opportunities - Introduction to needs analysis – page The logical model Think of the logical model as a living and ... The longerterm benefits to final beneficiaries and the wider benefits to other groups The accomplishment to be achieved by implementing the project and which is likely to outlive the project The...
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UNIT 2. UNDERSTANDING NEEDS AND ASSESSING OPPORTUNITIES LESSON 1. INTRODUCTION TO NEEDS ANALYSISNOTE doc

UNIT 2. UNDERSTANDING NEEDS AND ASSESSING OPPORTUNITIES LESSON 1. INTRODUCTION TO NEEDS ANALYSISNOTE doc

Cơ sở dữ liệu

... organizational goals are to support radio broadcasting through local action, and offer various services to its members Understanding Needs and Assessing Opportunities - Introduction to needs analysis ... have to be completed to produce the results Understanding Needs and Assessing Opportunities - Introduction to needs analysis – page The logical model Think of the logical model as a living and ... The longerterm benefits to final beneficiaries and the wider benefits to other groups The accomplishment to be achieved by implementing the project and which is likely to outlive the project The...
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Chapter 1 Introduction to Routing and Packet ForwardingRouting Protocols and Concepts quangkien@gmail.com.Topicsl Inside the Router Ÿ Routers are computers Ÿ Router CPU and Memory Ÿ Internetwork Operating System Ÿ Router Bootup Process Ÿ Router Ports doc

Chapter 1 Introduction to Routing and Packet ForwardingRouting Protocols and Concepts quangkien@gmail.com.Topicsl Inside the Router Ÿ Routers are computers Ÿ Router CPU and Memory Ÿ Internetwork Operating System Ÿ Router Bootup Process Ÿ Router Ports doc

Quản trị mạng

... MAC: 0c00-41cc-ae12 10 .1. 0 .1/ 16 FastEthernet 0/0 MAC: 0c00-3a44 -19 0a 19 2 .16 8 .1. 1/24 Serial 0/0 17 2 .16 .1. 1/24 Serial 0 /1 172 .16 .1. 2/24 l Router Interface: Ÿ Different network Ÿ IP address and subnet ... Cache IP Address MAC Address 19 2 .16 8.4 .10 0B-20 Dest IP 19 2 .16 8.4 .10 Source IP 19 2 .16 8 .1. 10 Network 19 2 .16 8 .1. 0/24 19 2 .16 8.2.0/24 19 2 .16 8 .3. 0/24 19 2 .16 8.4.0/24 IP fields Data Trailer RTC Routing ... Address MAC Address 19 2 .16 8.2.2 0B - 31 Dest IP 19 2 .16 8.4 .10 Source IP 19 2 .16 8 .1. 10 Network 19 2 .16 8 .1. 0/24 19 2 .16 8.2.0/24 19 2 .16 8 .3. 0/24 19 2 .16 8.4.0/24 IP fields Data Trailer Trailer RTA Routing...
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Chapter 1 – Introduction to Computers and C++ Programming pot

Chapter 1Introduction to Computers and C++ Programming pot

Kỹ thuật lập trình

... 2 Chapter – Introduction to Computers and C++ Programming Outline 1. 16 1. 17 1. 18 1. 19 1. 20 1. 21 1.22 1. 23 1. 24 1. 25 1. 26 History of the Internet History of the World Wide Web World ... operands) – Example: sum = variable1 + variable2; © 20 03 Prentice Hall, Inc All rights reserved 1 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 // Fig 1. 6: fig 01_ 06.cpp // Addition program #include ... and 1s Instruct computers to perform elementary operations – One at a time Cumbersome for humans Example: + 13 0 0042774 +14 005 934 19 +12 00274027 © 20 03 Prentice Hall, Inc All rights reserved 13 ...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx

Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx

Cơ sở dữ liệu

... Kumar Introduction to Data Mining 11 Representation Is the mapping of information to a visual format Data objects, their attributes, and the relationships among data objects are translated into ... Tan,Steinbach, Kumar Introduction to Data Mining 19 Scatter Plot Array of Iris Attributes © Tan,Steinbach, Kumar Introduction to Data Mining 20 Visualization Techniques: Contour Plots Contour plots – ... (SST) is provided on thetonext slide © Tan,Steinbach, Kumar Introduction Data Mining 21 Contour Plot Example: SST Dec, 19 98 Celsius © Tan,Steinbach, Kumar Introduction to Data Mining 22 Visualization...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Cơ sở dữ liệu

... 97 11 0 12 2 17 2 230 Yes 3 3 2 3 3 No 4 4 Gini © Tan,Steinbach, Kumar 0.420 0.400 0 .37 5 0 .34 3 0. 417 Introduction to Data Mining 0.400 0 .30 0 ... 0.528 © Tan,Steinbach, Kumar Node N1 Node N2 C1 C2 N1 N2 Gini=0 .33 3 Introduction to Data Mining Gini(Children) = 7 /12 * 0 .19 4 + 5 /12 * 0.528 = 0 .33 3 34 Categorical Attributes: Computing Gini Index ... Splitting: M0 A? Yes B? No Yes No Node N1 Node N2 Node N3 Node N4 M1 M2 M3 M4 M12 M34 Gain = M0 – M12 vs M0 – M34 © Tan,Steinbach, Kumar Introduction to Data Mining 30 Measure of Impurity: GINI Gini...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

Cơ sở dữ liệu

... Kumar 15 9 35 6 35 7 689 Introduction to Data Mining 36 7 36 8 22 Subset Operation Using Hash Tree Hash Function transaction 1+ 235 6 2+ 35 6 12 + 35 6 1, 4,7 3+ 56 3, 6,9 2,5,8 13 + 56 234 567 15 + 14 5 13 6 34 5 ... 2,5,8 13 + 56 234 567 15 + 14 5 13 6 34 5 12 4 457 © Tan,Steinbach, Kumar 12 5 458 15 9 35 6 35 7 689 36 7 36 8 Match transaction against 11 out of 15 candidates Introduction to Data Mining 24 Factors Affecting ... Hash Function 1, 4,7 Candidate Hash Tree 3, 6,9 2,5,8 234 567 14 5 13 6 34 5 Hash on 2, or 12 4 457 © Tan,Steinbach, Kumar 12 5 458 15 9 Introduction to Data Mining 35 6 35 7 689 36 7 36 8 19 Association...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx

Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx

Cơ sở dữ liệu

... TID D1 D2 D3 D4 D5 W1 0.40 0.00 0.40 0.00 0.20 W2 0 .33 0.00 0.50 0.00 0 .17 © Tan,Steinbach, Kumar W3 0.00 0 .33 0.00 0 .33 0 .33 W4 0.00 1. 00 0.00 0.00 0.00 j∈C W5 0 .17 0 .33 0.00 0 .17 0 .33 Introduction ... 0.00 0 .33 0 .33 W4 0.00 1. 00 0.00 0.00 0.00 W5 0 .17 0 .33 0.00 0 .17 0 .33 Example: Sup(W1) = 0.4 + + 0.4 + + 0.2 = Sup(W1, W2) = 0 .33 + + 0.4 + + 0 .17 = 0.9 Sup(W1, W2, W3) = + + + + 0 .17 = 0 .17 © ... Introduction to Data Mining W1 0.40 0.00 0.40 0.00 0.20 W2 0 .33 0.00 0.50 0.00 0 .17 W3 0.00 0 .33 0.00 0 .33 0 .33 W4 0.00 1. 00 0.00 0.00 0.00 W5 0 .17 0 .33 0.00 0 .17 0 .33 18 Min-Apriori New definition...
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