3 oracle data mining installation
Oracle 10g Data Mining Administrators Guide WW
... the end of a line of input Overview Oracle Data Mining (ODM) embeds data mining within the Oracle database The data never leaves the database — the data, data preparation, model building, and ... must be an Oracle database with either the Oracle Data Mining option or the Oracle Data Mining Scoring Engine option installed The Oracle Data Pump Export Utility (expdp) is used for database and ... Engine Installation Data Mining Scoring Engine is a custom installation option for Oracle Data Mining Select this option to install the ODM Scoring Engine as an alternative to installing Oracle Data...
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Tài liệu Multimedia Data Mining 3 pdf
... 72 Multimedia Data Mining the literature to perform specific multimedia data mining tasks as exemplified in the subsequent chapters of the book Specifically, in the multimedia data mining context, ... theory and its applications in multimedia data mining Section 3.11 introduces another recently developed learning theory with extensive multimedia data mining applications called semi-supervised ... measured 3.2.1 Bayes Theorem In multimedia data mining we are often interested in determining the best hypothesis from a space H, given the observed training data D One way to specify what we mean...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... Introduction to Data Mining separate face becomes a Star Plots for Iris Data Setosa Versicolour Virginica © Tan,Steinbach, Kumar Introduction to Data Mining 29 Chernoff Faces for Iris Data Setosa ... Kumar Introduction to Data Mining 35 OLAP Operations: Data Cube The key operation of a OLAP is the formation of a data cube A data cube is a multidimensional representation of data, together with ... Introduction Data Mining 21 Contour Plot Example: SST Dec, 1998 Celsius © Tan,Steinbach, Kumar Introduction to Data Mining 22 Visualization Techniques: Matrix Plots Matrix plots – Can plot the data matrix...
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oracle database quick installation guide 10g release 1 (10.1.0.3) for the solaris operating system (x86)
... oracle User and Configure the oracle User’s Environment 11 Install Oracle Database 10g 12 Install Products from the Oracle Database 10g Companion CD 13 What to Do Next Oracle Database Quick Installation ... you install Oracle Database 10g Products from the Companion CD Oracle Database Quick Installation Guide 39 If you intend to use Oracle JVM or Oracle interMedia, you must install Oracle Database ... home directory as Oracle Database 10g Release (10.1.0) Note: ■ Oracle Database 10g Companion Products Includes Oracle HTTP Server and Oracle HTML DB 40 Oracle Database Quick Installation Guide...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 3 pptx
... in Data Mining: prediction and description Prediction is often referred to as supervised Data Mining, while descriptive Data Mining includes the unsupervised and visualization aspects of Data Mining ... the Data Mining part, where the focus is on the algorithmic aspects employed for each project: Choosing the appropriate Data Mining task We are now ready to decide on which type of Data Mining ... methods are less associated with Data Mining than their discovery-oriented counterparts, because Oded Maimon and Lior Rokach Fig 1.2 Data Mining Taxonomy most Data Mining problems are concerned...
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Data Mining Concepts and Techniques phần 3 docx
... Cube API Meta data MDDB Layer multidimensional database Database API Filtering Data filtering Data integration Data cleaning Databases Databases Data integration Layer data repository Data warehouse ... Chapter Data Warehouse and OLAP Technology: An Overview 3.5 From Data Warehousing to Data Mining “How data warehousing and OLAP relate to data mining? ” In this section, we study the usage of data ... 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 marts...
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Microsoft Data Mining integrated business intelligence for e commerc and knowledge phần 3 potx
... save in the data mining model OLE DB for Data Mining is an extension of OLE DB that lets data mining client applications use data mining services from a broad 3.4 OLE DB for data mining architecture ... providers OLE DB for Data Mining treats data mining models as a special type of table When you insert the data into the table, a data mining algorithm processes the data and the data mining model query ... access mechanism to the data mining query engine in SQL 2000, the central object of the implementation of data mining in SQL Server 2000 is the data mining model A Data Mining Model (DMM) is a...
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Rampant TechPress Oracle Data Warehouse Management PHẦN 3 ppsx
... MONOGRAPH DATA WAREHOUSING AND ORACLE8 I Data Warehousing 201 Hour 1: Oracle8 i Features Objectives: The objectives for this section on Oracle8 i features are to: Discuss SQL options applicable to data ... ROBO BOOKS MONOGRAPH DATA WAREHOUSING AND ORACLE8 I Discuss new indexing options Discuss new Oracle8 internals options Discuss RMAN and its benefits in Oracle8 for data warehousing Partitioned ... use in data warehouses Discuss advanced resource management through plans and groups Discuss the use of row level security and data warehousing Oracle8 i SQL Enhancements for Data Warehouses Oracle8 i...
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INTRODUCTION TO KNOWLEDGE DISCOVERY AND DATA MINING - CHAPTER 3 pot
... entropy is zero) 39 Knowledge Discovery and Data Mining 3.3 Issues in data mining with decision trees Practical issues in learning decision trees include determining how deeply to grow the decision ... Discovery and Data Mining unemployment rate; England’s prospect at cricket Table 3.1 is a small illustrative dataset of six days about the London stock market The lower part contains data of each ... Caterpillar called upon MRJ to help design and oversee some experiments in data mining One of the areas where we felt that data mining might prove useful was in the automatic approval of warranty repair...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 3 pps
... at data The Lure of Statistics: Data Mining Using Familiar Tools Looking at Discrete Values Much of the data used in data mining is discrete by nature, rather than contin uous Discrete data ... Statistics: Data Mining Using Familiar Tools For statisticians (and economists too), the term data mining has long had a pejorative meaning Instead of finding useful patterns in large volumes of data, ... the data collected by scientists, most of which took the form of continuous measurements In data mining, we encounter continuous data less often, because there is a wealth of descriptive data...
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Data warehuose and data mining
... trong qui trình KDD Pattern Evaluation Data mining Task relevant data Data warehouse Data cleaning Knowledge Data integration selection Mục đích KTDL Data Mining Descriptive Predictive Classification ... Environment • Subject = Customer • Data Warehouse Biến thời gian • Time • Data • 01/97 Data for January • • 02/97 Data for February • • 03/97 Data for March • • Data • Warehouse Ổn Định • Là lưu ... Nội Dung • Kho liệu (Data warehouse) • Khai thác liệu (Data mining) – Giới thiệu – Giới thiệu – Qui trình khám phá tri thức – Định nghĩa – DW - Traditional Database – Luật kết hợp – Mục...
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Data Mining - Chapter 2
... ZhaoHui Tang, Jamie MacLennan, Data Mining with SQL Server 2005”, Wiley Publishing, 2005 [6] Oracle, Data Mining Concepts”, B28129-01, 2008 [7] Oracle, Data Mining Application Developer’s ... lý liệu Pattern Evaluation/ Presentation Data Mining Patterns Task-relevant Data Data Warehouse Data Cleaning Selection/Transformation Data Integration Data Sources 2.1 Tổng quan giai đoạn tiền ... Micheline Kamber, Data Mining: Concepts and Techniques”, Second Edition, Morgan Kaufmann Publishers, 2006 [2] David Hand, Heikki Mannila, Padhraic Smyth, “Principles of Data Mining , MIT Press,...
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Data mining
... Name Chỉ định tên worksheet mà bạn chọn vào Nhấp vào nút ( ) để chọn từ danh sách worksheet sẵn Data range: Bạn nhập liệu bắt đầu với hàng không trống với phạm vi rõ ràng: • First non-blank row: ... thị tên theo lệnh thực hiện, bạn đặt tên lại cho lệnh “phan cum” hay tùy ý bạn Use partitioned data: Sử dụng liệu phân vùng Nếu trước liệu bạn thực lệnh Partition Number of clusters: Xác định ... Kinh Tế TPHCM 23 Hình 5.3: Bảng tùy chọn neural Model: Model name: Tên mô hình Use partitioned data: Sử dụng liệu phân vùng Method: Phương pháp Có sáu phương pháp để xây dựng mô hình mạng thần...
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Data Mining Tutorial
... small dataset, need all observations to estimate parameters of interest • Data mining – loads of data, can afford “holdout sample” • Variation: n-fold cross validation – Randomly divide data into ... Multiple testing • • • • • • 50 different BPs in data, m=49 ways to split Multiply p-value by 49 Bonferroni – original idea Kass – apply to data mining (trees) Stop splitting if minimum p-value ... April 2012 Data Mining - What is it? • • • • Large datasets Fast methods Not significance testing Topics – Trees (recursive splitting)...
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data-mining-tutorial
... Many Names of Data Mining Data Fishing, Data Dredging: 1960 used by statisticians (as bad name) Data Mining :1990 - used in DB community, business Knowledge Discovery in Databases (1989-) ... training data, validation data, and test data Validation data is used to optimize parameters © 2006 KDnuggets 45 Making the most of the data Once evaluation is complete, all the data can ... Related Fields Machine Learning Visualization Data Mining and Knowledge Discovery Statistics © 2006 KDnuggets Databases Statistics, Machine Learning and Data Mining Statistics: more theory-based...
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hash-based approach to data mining
... : Database : Direct Hashing and Pruning : Hash table of k-itemsets : Large itemsets k elements : Perfect Hashing and DB Pruning : Perfect Hashing and data Shrinking : Set-oriented mining : Database ... future Hash-Based Approach to Data Mining CHAPTER 1: Introduction 1.1 Overview of finding association rules It is said that, we are being flooded in the data However, all data are in the form of strings, ... initial data Therefore, data mining grows quickly, step by step plays a key role in our lives now Each application has other requirements, correlate with other methods for the particular databases...
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ORACLE DATA WAREHOUSE
... biết Nhà kho liệu? Oracle Express có phải phần mềm Nhà kho liệu? Nội dung giới thiệu Mở đầu Các khái niệm Các khía cạnh thiết kế triển khai Giải pháp Nhà kho liệu Oracle (Oracle Warehouse) ... Dữ liệu Dữ liệu Chính xác Chính xác thực tế thực tế Chất lượng Chất lượng Lịch sử Lịch sử Data Warehouse Data Warehouse Các thành phần công nghệ giải pháp Phần cứng phần mềm hệ thống Công...
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Data mining and medical knowledge management cases and applications
... drive data gathering and experimental planning, and to structure the databases and data warehouses BK is used to properly select the data, choose the data mining strategies, improve the data mining ... modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in EEG and ECG data, and methods related to mining ... their databases It results into numerous applications of various data mining tools and techniques The analyzed data are in different forms covering simple data matrices, complex relational databases,...
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Oracle Data Provider for .NET Developer''''s Guide
... Guide I Oracle Database Application Developer's Guide - Large Objects I Oracle Database New Features I Oracle Database Concepts I Oracle Database Reference I Oracle Database SQL Reference I Oracle ... information, see these Oracle resources: I Oracle Database Installation Guide for Windows I Oracle Database Release Notes for Windows I Oracle Database Platform Guide for Windows I Oracle Database Administrator's ... OracleDataReader Class OracleDataReader Members OracleDataReader Static Methods OracleDataReader Properties OracleDataReader Public Methods OracleError...
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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
... BASED DATA MINING TECHNIQUES The objective of data mining is to extract valuable information from one’s data, to discover the ‘hidden gold’ In Decision Support Management terminology, data mining ... on data retention and data distillation Rule induction models (Figure 2) belong to the logical, pattern distillation based approaches of data mining These technologies extract patterns from data ... REFERENCES [1] Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm [2] Berry, J A Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing,...
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