introduction to data mining in sql server 2008

... ROADMAP BeginningSQL Server 2008for Developers BeginningDatabase Design SQL QueriesBeginning Programmer’s GuidePro T-SQL 2008 Trang 4Beginning SQL Server 2008 for Developers: From Novice to ProfessionalCopyright ... 187 Backing Up the Database Using T-SQL 191 Transaction Log Backup Using T-SQL 197 Restoring a Database 200 Restoring Using SQL Server Management Studio 200 Restoring Using T-SQL ... the Data in Order 156 Determining What Makes a Bad Index 156 Using Unsuitable Columns 156 Choosing Unsuitable Data 156 Including Too Many Columns 157 Including Too Few Records in...

Ngày tải lên: 18/10/2013, 07:15

... với SQL SERVER 2008 11 2.1 Sơ lược về SQL SERVER 11 2.1.1 Lịch sử SQL SERVER 11 2.1.2 Điểm phát triển của SQL SERVER 2008 13 2.2 Các quy trình làm việc của Data Mining 14 III Các khái niệm về data ... các thuật toán cung cấp trong SQL Server 2008, xem thêm về Data Mining Algorithms (Data Analysic Quan trọng khi thay đổi dữ liệu là phải cập nhật tất cả các cấu trúc Mining và mẫu Mining Khi ... SQL SERVER ENGINE : bộ công cụ hõ trợ cơ chế quản lý dữ liệu của SQL II.1.2 Điểm phát triển của SQL SERVER 2008 SQL SERVER 2008 là phiên bản hiện tại của dòng sản phẩm SQL SERVER SQL Server 2008...

Ngày tải lên: 25/05/2014, 13:59

... reader can learn data mining by doing data mining The intention is to mirror the real-worlddata mining scenario In the real world, dirty data sets need cleaning; raw data needs to be normalized; ... proofreading skills But words cannot express Daniel T Larose, Ph.D Director, Data Mining @CCSU www.ccsu.edu/datamining Trang 19xviTrang 20C H A P T E R 1INTRODUCTION TO DATA MINING WHAT IS DATA MINING? ... Knowledge in Data: An Introduction to Data Mining, introduces the reader to this rapidly growing field of data mining WHY IS THIS BOOK NEEDED? Human beings are inundated with data in most fields...

Ngày tải lên: 23/05/2018, 15:25

... concept of datamining 3 2 The main functions of data mining 3 3 RapidMiner Data Mining General Introduction 4 II Data collection 6 1 Overview of shares of Joint Stock Commercial Bank for Investment ... sand 2 The main functions of data mining Data Mining is broken down into several main directions as follows: - Descriptive notions: in favor of elaborating on, summing up, andcharacterizing concepts ... amounts of data is what isreferred to as data mining The work of locating and sorting through thesignificant and required items in a sizable set of given data is compared to datamining, which...

Ngày tải lên: 14/05/2024, 16:10

... data mining models by using the Analysis Manager Trang 8# Introducing Data Mining ! Defining Data Mining ! Data Mining Applications ! Data Mining Models ! Introductory Example ! Exploring the ... section introduces data mining concepts, including: ! Defining data mining ! Discussing how data mining can be applied to solve common business applications ! Describing what data mining models ... relationships in your model Trang 7Overview ! Introducing Data Mining ! Training a Data Mining Model ! Building a Data Mining Model with OLAP Data This module provides you with an introduction to Microsoft®...

Ngày tải lên: 24/01/2014, 19:20

... 1Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining ... Tan,Steinbach, Kumar Introduction to Data Mining 21 Experimental Results: CURE (15 clusters) Trang 22Experimental Results: CHAMELEONTrang 23© Tan,Steinbach, Kumar Introduction to Data Mining ... partitioning algorithms Trang 11© Tan,Steinbach, Kumar Introduction to Data Mining 11 Sparsification in the Clustering Process Trang 12Limitations of Current Merging SchemesExisting merging schemes...

Ngày tải lên: 15/03/2014, 09:20

... process cus-In addition to finding out what information your customer cares aboutand getting it into a database, you must find out how the customer intends to use the information Is it for historical ... 121 Interpreting User Interviews and Statements 121 Interpreting Flowcharts 127 Interpreting Legacy Systems 130 Interpreting Use Cases 132 Determining Attributes 135 Determining ... Transaction Data 232 Determining the Appropriate Indexes 233 Reviewing Data Access Patterns 233 Balancing Indexes 233 Covering Indexes 234 Trang 15Index Statistics 235Index Maintenance...

Ngày tải lên: 31/03/2014, 21:22

... trình ứng dụng (API) Data Mining với nhiều data mining provider hàng đầu API này định nghĩa một ngôn ngữ truy vấn data mining dựa trên cú pháp SQL Các mô hình data mining (Data Mining Model) được ... Provider này gồm hai thuật toán data mining: Microsoft Decision Trees và Microsoft Clustering 2 Các thuật toán Data Mining của Microsoft Hai thuật toán data mining trong SQL Server 2000, Microsoft ... 2 Các thuật toán Data Mining của Microsoft 3 3 Xây dựng các mô hình Data Mining bằng Analysis Services 2000 6 3.1 Nguồn dữ liệu cho mô hình data mining 6 3.2 Tạo mô hình data mining 7 3.3 Huấn...

Ngày tải lên: 03/01/2016, 19:29

... 1TRƯỜNG ĐẠI HỌC BÁCH KHOA HÀ NỘI VIỆN TOÁN NG D NG VÀ TIN H C Ứ Ụ Ọ BÁO CÁO MÔN H C Ọ TECHNICAL WRITING AND PRESENTATION Đề tài: INTRODUCTION TO DATA MINING Giáo viên hướng dẫn: Ts.Lê Chí ... nhóm phân tích Dữ liệu (Data Analysis) trong tab XLMiner Ch n ọtọa độ Song song (Parallel Coordinates) Trong h p tho i th hai, ch n kiộ ạ ứ ọ ểm tra(Checking), Tiết ki m(Savings) , S tháng làm vi ... trung bình, tỷ lệ chấp nhận, chỉ tiêu / học sinh, tỷ lệ học sinh trong 10% học sinh giỏi nhất trường trung học của họ và tỷ lệ tốt nghiệp Trong XLMiner, chọn Phân cụm phân cấp từ menu Cụm trong...

Ngày tải lên: 24/04/2022, 21:52

... dependencies and printing the data: Figure 1 Overview of the raw data Having reviewed the raw data, we proceed to dive deeper into the analysis Our targeted data is the "Value" column in the DataFrame ... modeling.Understanding Dataset FeaturesUpon inspecting the raw dataset and examining several data rows, we can gain valuable insights into the different columns and their corresponding features: LOCATION: This ... tons, equivalent to 0.5% compared to 2021, continuing to record a new record, maintaining production of more than 650 million tons, stable for 8 consecutive years According to data released by...

Ngày tải lên: 03/05/2024, 16:25

... ContentsIntroduction Chapter One: Introduction to Data Mining Data Types Used in Mining Pros and Cons of Data Mining Applications of Data Mining Challenges Chapter Two: Data Mining Architecture Data ... Processes Data Warehouse Server or Database Data Mining Engine Pattern Evaluation Module Graphical User Interface (GUI) Chapter Four: Data Mining Tools Orange Data Mining SAS Data Mining DataMelt Data ... these processes to be performed Data science and data miningprocesses include web mining, text mining, video and audio mining, socialmedia mining, and pictorial data mining This can be done with easethrough...

Ngày tải lên: 07/05/2024, 08:09

... linh hoạt SQL Server Data Mining bao gồm các thành phần sau: - Các thuật toán data mining: SQL Server Data Mining có chín thuật toán data miningkhác nhau, được phân loại theo các loại bài toán như ... Các công cụ này bao gồm Data Mining Wizard, Data MiningDesigner và Data Mining Add-In for Excel - Các giải pháp data mining: Một giải pháp data mining là một giải pháp SQL ServerAnalysis Services, ... SQL Server Data Mining là gì và có những đặc điểm gì nổi bật? - Các thuật toán data mining trong SQL Server Data Mining là gì và được sử dụng nhưthế nào? - Các công cụ data mining trong SQL Server...

Ngày tải lên: 14/08/2024, 16:14

... Trang 1Data Mining: IntroductionLecture Notes for Chapter 1 Introduction to Data Mining by Tan, Steinbach, Kumar Trang 2Lots of data is being collected – Provide better, customized services ... quantities of data in order to discover meaningful patterns Trang 6What is (not) Data Mining?– Certain names are more prevalent in certain US locations (O’Brien, O’Rurke, O’Reilly… in Boston area) ... scientists – in classifying and segmenting data Trang 4Mining Large Data Sets - MotivationThere is often information “hidden” in the data that is not readily evident Human analysts may take weeks to discover...

Ngày tải lên: 15/03/2014, 09:20

... Trang 1Data Mining: DataLecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar Trang 2– Attribute is also known as variable, ... in Australia Trang 29Sampling Sampling is the main technique employed for data selection. – It is often used for both the preliminary investigation of the data and the final data analysis. data ... of interest is too expensive or time consuming. entire set of data of interest is too expensive or time consuming. Trang 30Sampling … The key principle for effective sampling is the following:...

Ngày tải lên: 15/03/2014, 09:20

... Trang 1© Tan,Steinbach, Kumar Introduction to Data Mining 1 Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining byTan, Steinbach, Kumar Trang 2What is data exploration?Key ... Tan,Steinbach, Kumar Introduction to Data Mining 21 Visualization Techniques: Contour Plots Trang 22Contour Plot Example: SST Dec, 1998Celsius Trang 23© Tan,Steinbach, Kumar Introduction to Data ... Setosa Versicolour Virginica Trang 30Chernoff Faces for Iris DataSetosa Versicolour Virginica Trang 31© Tan,Steinbach, Kumar Introduction to Data Mining 31 OLAP On-Line Analytical Processing...

Ngày tải lên: 15/03/2014, 09:20

... How to determine the best split? – Determine when to stop splitting Trang 47Stopping Criteria for Tree InductionStop expanding a node when all the records belong to the same class Stop expanding ... Determine when to stop splitting Trang 20– Determine how to split the records• How to specify the attribute test condition? • How to determine the best split? – Determine when to stop splitting ... implying least interesting information – Minimum (0.0) when all records belong to one class, implying most interesting information GINI ( ) 1 [ ( | )] 2 Trang 32Examples for computing GINITrang...

Ngày tải lên: 15/03/2014, 09:20

... Trang 1Data Mining Classification: Alternative Techniques Lecture Notes for Chapter 5 Introduction to Data Mining by Tan, Steinbach, Kumar Trang 2• Condition is a ... according to distance ) ( ) , ( Trang 42Nearest Neighbor Classification…Choosing the value of k: – If k is too small, sensitive to noise points – If k is too large, neighborhood may include points ... – Examples: k Trang 55How to Estimate Probabilities from Data?For continuous attributes: – Discretize the range into bins • one ordinal attribute per bin • violates independence assumption –...

Ngày tải lên: 15/03/2014, 09:20

... Trang 1Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar Trang 2Association Rule MiningGiven a ... 57Application of Interestingness MeasureFeatur e Selection Preprocessing Mining Postprocessing Data Selected Data Trang 58Computing Interestingness MeasureGiven a rule X  Y, information needed to compute ... Trang 5Association Rule Mining TaskGiven a set of transactions T, the goal of association rule mining is to find all rules having – support ≥ minsup threshold – confidence ≥ minconf threshold Brute-force...

Ngày tải lên: 15/03/2014, 09:20

... Subgraph MiningExtend association rule mining to finding frequent subgraphs Useful for Web Mining, computational chemistry, bioinformatics, spatial data sets, etc Trang 50Representing Transactions ... Trang 1Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining by Tan, Steinbach, Kumar Trang 2Continuous and Categorical ... 38Candidate PruningTrang 39Timing Constraints (Browser=Mozilla)} I)Trang 40Mining Sequential Patterns with Timing ConstraintsApproach 1: – Mine sequential patterns without timing constraints – Postprocess...

Ngày tải lên: 15/03/2014, 09:20

... Trang 1Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining by Tan, Steinbach, Kumar Trang 2What is Cluster Analysis?Finding groups ... Clusters: – A cluster is a set of points such that any point in a cluster is closer (or more similar) to every other point in the cluster than to any point not in the cluster 3 well-separated ... points – Clustering is equivalent to breaking the graph into connected components, one for each cluster – Want to minimize the edge weight between clusters and maximize the edge weight within...

Ngày tải lên: 15/03/2014, 09:20