5 data mining scoring engine installation

... is met © Tan,Steinbach, Kumar Introduction to Data Mining 14 Example of Sequential Covering (ii) Step © Tan,Steinbach, Kumar Introduction to Data Mining 15 Example of Sequential Covering… R1 R1 ... Introduction to Data Mining 16 Aspects of Sequential Covering Rule Growing Instance Elimination Rule Evaluation Stopping Criterion Rule Pruning © Tan,Steinbach, Kumar Introduction to Data Mining 17 ... Kumar Introduction to Data Mining 20 Rule Evaluation Metrics: – Accuracy nc = n nc + = – Laplace n +k nc + kp = n +k – M-estimate © Tan,Steinbach, Kumar Introduction to Data Mining n : Number of...

Ngày tải lên: 15/03/2014, 09:20

... there were few data cleansing tools available five years ago Table 2.1 Industrial data cleansing tools circa 2004 Tool Centrus Merge/Purge Data Tools Twins DataCleanser DataBlade DataSet V DeDuce ... missing and incorrect data, and correcting errors Other recent work relating to data cleansing includes (Bochicchio and Longo, 2003, Li and Fang, 1989) Data Mining emphasizes data cleansing with ... sorted-neighborhood method to solve it Data cleansing is much more than simply updating a record with good data Serious data cleansing involves decomposing and reassembling the data According to (Kimball,...

Ngày tải lên: 04/07/2014, 05:21

... assuming a small data size Recent data mining research has built on such work, developing scalable classification and prediction techniques capable of handling large disk-resident data In this chapter, ... to extract models describing important data classes or to predict future data trends Such analysis can help provide us with a better understanding of the data at large Whereas classification predicts ... “safe” or “risky” for the loan application data; “yes” or “no” for the marketing data; or “treatment A,” “treatment B,” or “treatment C” for the medical data These categories can be represented...

Ngày tải lên: 08/08/2014, 18:22

... perform preliminary data scanning and analysis as a first step to data mining It shows how both the data mining model and the OLAP cube model are different representations of the same data source and ... implementation of data mining in SQL Server 2000 The data mining capabilities provided in SQL Server 2000 are described in the following sections 5.6 Building the analysis view for data mining 5.6.1 ... data mining view of the data are the same as creating a dimensional view of the data Figure 5.32 Analysis Manager startup sequence Chapter 142 5.9 Figure 5.33 Creating the mining model The Data Mining...

Ngày tải lên: 08/08/2014, 22:20

... that work by agglomeration In these methods, we start out with each data point forming its own 73 Knowledge Discovery and Data Mining cluster and gradually merge clusters until all points have ... cluster and the rest of the database will go a long way towards explaining what makes the cluster special As for the second question, that is what all the other data mining techniques are for! ... a database have been mapped to points in space, automatic cluster detection is really quite simplea little geometry, some vector means, and that’s all! The problem, of course, is that the databases...

Ngày tải lên: 14/08/2014, 02:21

... reasoning is a powerful data mining technique that can be used to solve a wide variety of data mining problems involving classification or estimation Unlike other data mining techniques that use ... of relational databases is pretty good nowadays The chal­ lenge with scoring data for MBR is that each case being scored needs to be compared against every case in the database Scoring a single ... academic papers, item sets) ■ ■ Items In a relational database, the data structure for market basket data often looks similar to Figure 9.2 This data structure includes four important entities LINE...

Ngày tải lên: 14/08/2014, 11:21

... nhiệm vụ Web mining phân loại thành ba mục Web content mining, Web structure mining Web usage mining Tuy nhiên, có khác hai phương pháp tiếp cận để phân loại Web mining Web usage mining trình ... khảo Graph-theoretic Techniques for Web Content Mining Web Mining Tutorial Mining the Web Web Mining: Applications and Techniques A Study of Web Mining Research -9- MỤC LỤC HỌC VIỆN CÔNG NGHỆ ... 1999 88% người dùng trực tuyến có sử dụng search engine 72% có dùng search engine để tìm kiếm hàng hoá bán lẻ Đối với nhiều người dùng, search engine yếu tố định hình nên tranh kho thông tin Web...

Ngày tải lên: 20/08/2014, 16:03

... 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...

Ngày tải lên: 18/01/2013, 16:15

... 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 ... 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 ... 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,...

Ngày tải lên: 23/01/2013, 22:17

... 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...

Ngày tải lên: 17/02/2013, 16:08

... 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 ... Testing joint importance versus individual significance Two engine plane can still fly if engine #1 fails Two engine plane can still fly if engine #2 fails Neither is critical individually Jointly ... April 2012 Data Mining - What is it? • • • • Large datasets Fast methods Not significance testing Topics – Trees (recursive splitting)...

Ngày tải lên: 04/03/2013, 14:32

... 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...

Ngày tải lên: 04/03/2013, 14:32

... : 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...

Ngày tải lên: 15/04/2013, 21:33

... 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 ... field is being born, called data engineering One of the essential notions of data engineering is metadata It is data about data , i.e., a data description of other data As an example we can mention ... 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...

Ngày tải lên: 16/08/2013, 16:24

... 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 ... information in data (Parsaye, 1997) User Suggestions Statistical Analysis Search Engine New hypotheses Induction Engine Patterns / Rules DB Figure 2: Rule Induction process Data mining techniques ... 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...

Ngày tải lên: 22/10/2013, 09:15

... of data representation 2.6.2 Building Data Dealing with Variables The data representation can usefully be looked at from two perspectives: as data and as a data set The terms data and data ... actual mining due to their limited data capacity and inability to handle certain types of operations needed in data preparation, data surveying, and data modeling For exploring small data sets, ... information is crucial to data mining It is the very substance enfolded within a data set for which the data set is being mined It is the reason to prepare the data set for mining to best expose...

Ngày tải lên: 24/10/2013, 19:15

... bias Determining data structure Building the PIE Surveying the data Modeling the data 3.3.1 Stage 1: Accessing the Data The starting point for any data preparation project is to locate the data This ... data preparation requires three such steps: data discovery, data characterization, and data set assembly • Data discovery consists of discovering and actually locating the data to be used • Data ... preparation activities Data Issue: Representative Samples A perennial problem is determining how much data is needed for modeling One tenet of data mining is “all of the data, all of the time.”...

Ngày tải lên: 24/10/2013, 19:15

... additional information actually forms another data stream and enriches the original data Enrichment is the process of adding external data to the data set Note that data enhancement is sometimes confused ... example of enhancing the data No external data is added, but the existing data is restructured to be more useful in a particular situation Another form of data enhancement is data multiplication When ... understand the data Once the assay is completed, the mining data set, or sets, can be assembled Given assembled data sets, much preparatory work still remains to be done before the data is in optimum...

Ngày tải lên: 29/10/2013, 02:15

... of the original data sample Random sampling does that If the original data set represents a biased sample, that is evaluated partly in the data assay (Chapter 4), again when the data set itself ... the alphas, but also for conducting the data survey and for addressing various problems and issues in data mining Becoming comfortable with the concept of data existing in state space yields insight ... most important metrics in both statistical analysis and data mining It is this concept of “level of confidence” that allows sampling of data sets to be made If the miner decided to use only a...

Ngày tải lên: 29/10/2013, 02:15

... 250 MB 3.5 Data Mining Scoring 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 ... Oracle Data Mining (ODM) embeds data mining within the Oracle database The data never leaves the database — the data, data preparation, model building, and model scoring results all remain in the database ... 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...

Ngày tải lên: 04/11/2013, 12:15