Data Mining Concepts and Techniques phần 1 potx
... Values 61 2. 3 .2 Noisy Data 62 2.3.3 Data Cleaning as a Process 65 2. 4 Data Integration and Transformation 67 2. 4.1 Data Integration 67 2. 4 .2 Data Transformation 70 2. 5 Data Reduction 72 2.5.1 Data ... Descriptive Data Summarization 51 2. 2.1 Measuring the Central Tendency 51 2. 2 .2 Measuring the Dispersion of Data 53 2. 2.3 Graphic Displays of Basic Descriptive Data Summaries 56 2. 3 Data Cleaning 61 2. 3.1 ... 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 and Invisible...
Ngày tải lên: 08/08/2014, 18:22
Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... Introduction to Data Mining 29 Challenges of Data Mining Scalability Dimensionality Complex and Heterogeneous Data Data Quality Data Ownership and Distribution Privacy Preservation Streaming Data © Tan,Steinbach, ... to Data Mining 1 Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining 8 Data Mining Tasks Prediction ... of data Traditional techniques infeasible for raw data Data mining may help scientists – in classifying and segmenting data – in Hypothesis Formation © Tan,Steinbach, Kumar Introduction to Data...
Ngày tải lên: 15/03/2014, 09:20
Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... 1 ∑ −= i ii n n n n VVd 2 2 1 1 21 ),( Distance between nominal attribute values: d(Single,Married) = | 2/ 4 – 0/4 | + | 2/ 4 – 4/4 | = 1 d(Single,Divorced) = | 2/ 4 – 1 /2 | + | 2/ 4 – 1 /2 | = 0 d(Married,Divorced) ... 1 /20 If a patient has stiff neck, what’s the probability he/she has meningitis? 00 02. 0 20 /1 50000/15.0 )( )()|( )|( = × == SP MPMSP SMP © Tan,Steinbach, Kumar Introduction to Data Mining 27 ... instances? – Prevent underestimating accuracy of rule – Compare rules R2 and R3 in the diagram © Tan,Steinbach, Kumar Introduction to Data Mining 29 Indirect Method: C4.5rules Extract rules from an unpruned...
Ngày tải lên: 15/03/2014, 09:20
Chapter 2: Basic Switch Concepts and Configuration ppt
... CSMA/CD 26 LAN Design Considerations Removing Bottlenecks Activity 2. 1.3 .2 43 Basic Switch Configuration • Management Interface Considerations 32 Layer 2 and Layer 3 Switching 2 Objectives ... loader command line to perform recovery operations. 3 Introduction to Ethernet/8 02. 3 LANs 24 Design Considerations for Ethernet/8 02. 3 Networks LAN Segmentation 17 MAC Addressing and Switch ... 8 02. 3 standard. • Explain the functions that enable a switch to forward Ethernet frames in a LAN. • Configure a switch for operation in a network designed to support voice, video, and data...
Ngày tải lên: 05/07/2014, 03:20
Oracle Data Guard Concepts and Administration
... Physical Standby Databases 2- 2 2. 1 .2 Logical Standby Databases 2- 3 2. 2 User Interfaces for Administering Data Guard Configurations 2- 4 2. 3 Data Guard Operational Prerequisites 2- 5 2. 3.1 Hardware and ... NODB_UNIQUE_NAME 12- 14 DELAY and NODELAY 12- 16 DEPENDENCY and NODEPENDENCY 12- 19 LOCATION and SERVICE 12- 23 MANDATORY and OPTIONAL 12- 26 MAX_FAILURE and NOMAX_FAILURE 12- 28 NET_TIMEOUT and NONET_TIMEOUT 12- 31 xxii Chapter ... for Naming Datafiles in Standby Database D-5 D–3 Using Image Copies to Create a Standby Database: Scenario D -20 Standby Database Types 2- 2 Oracle Data Guard Concepts and Administration 2. 1.1 Physical...
Ngày tải lên: 26/10/2013, 22:15
Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i 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 ... 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 preparation,...
Ngày tải lên: 06/11/2013, 01:15
Tài liệu OPTICAL COMMUNICATION THEORY AND TECHNIQUES ppt
... and quadrature field components). Based on Fig. 2, at spectral efficiencies below 1 b/s/Hz per polarization, 2- PAM (OOK) and 2- DPSK are attractive techniques. Between 1 and 2 b/s/Hz, 4-DPSK and ... ECS-0335013 and at National Taiwan University by National Science Council of R.O.C. Grant NSC- 92- 221 8-E-0 02- 034. Modulation and Detection Techniques for DWDM Systems 17 4. COHERENT DETECTION OF PSK AND ... efficiency of 2- and 4-DPSK as compared to 2- and 4-PAM. Coherent detection is unique in offering two degrees of freedom per polarization, leading to outstanding SNR efficiency for 2- and 4-PSK, and still reasonable...
Ngày tải lên: 20/01/2014, 06:20
Medical Image Processing, Reconstruction and Restoration: Concepts and Methods ppt
... Growing 621 13 .2. 2 .2 Segmentation via Region Merging 622 13 .2. 2.3 Segmentation via Region Splitting and Merging 623 13 .2. 2.4 Watershed-Based Segmentation 625 13 .2. 3 Edge-Based Segmentation 628 13 .2. 3.1 ... Doppler Imaging 320 7 .2. 2 .2 Movement Estimation Imaging 324 7 .2. 2.3 Contrast-Based Flow Imaging 324 7 .2. 2.4 Postprocessing of Flow Images 325 DK 121 2_C000.fm Page xvi Monday, October 3, 20 05 4:56 PM © 20 06 ... Transform 122 2. 4 Discrete Stochastic Images 125 2. 4.1 Discrete Stochastic Fields as Generators of Stochastic Images 126 2. 4 .2 Discrete Correlation and Covariance Functions 127 2. 4.3 Discrete...
Ngày tải lên: 06/03/2014, 12:20
LEARNING LANDSCAPE ECOLOGY A PRACTICAL GUIDE TO CONCEPTS AND TECHNIQUES docx
Ngày tải lên: 23/03/2014, 01:20
Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... – Larger and Purer Partitions are sought for. B? Yes No Node N1 Node N2 Parent C1 6 C2 6 Gini = 0.500 N1 N2 C1 5 1 C2 2 4 Gini=0.333 Gini(N1) = 1 – (5/6) 2 – (2/ 6) 2 = 0.194 ... – (2/ 6) 2 = 0.194 Gini(N2) = 1 – (1/6) 2 – (4/6) 2 = 0. 528 Gini(Children) = 7/ 12 * 0.194 + 5/ 12 * 0. 528 = 0.333 © Tan,Steinbach, Kumar Introduction to Data Mining 15 Decision Tree Classification ... Introduction to Data Mining 43 Examples for Computing Error C1 0 C2 6 C1 2 C2 4 C1 1 C2 5 P(C1) = 0/6 = 0 P(C2) = 6/6 = 1 Error = 1 – max (0, 1) = 1 – 1 = 0 P(C1) = 1/6 P(C2) = 5/6 Error...
Ngày tải lên: 15/03/2014, 09:20