3 database initialization parameters for oracle data mining

... the original database Figure shows a DataGuide for the sample OEM database from Figure In Lore, a DataGuide plays a role similar to metadata in traditional database systems The DataGuide may ... Java presentation of a DataGuide This DataGuide summarizes an existing database for Stanford's Database Group, similar in structure to but much larger than the sample database used throughout ... explicitly created before any data is loaded; in Lore, DataGuides are dynamically generated and maintained over all or part of an existing database For a given OEM database, there are many DataGuides that...

Ngày tải lên: 23/03/2014, 12:20

... 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 30 OLAP On-Line Analytical Processing (OLAP) was proposed by E F Codd, the father of the relational database Relational databases put data into tables, while ... 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...

Ngày tải lên: 15/03/2014, 09:20

... NET data provider for Oracle Oracle's Data Provider (ODP NET) Oracle Client Oracle database Microsoft's NET data providers for ODBC and OLEDB are not intentionally developed exclusively for Oracle ... information from Oracle database The� OracleDataAdapter class is mainly used to populate datasets or data tables for offline use (disconnected use) The OracleDataAdapter simply connects to the database, ... Arrays from Oracle Database 116 Working with REF CURSOR Using ODP.NET 122 Sending an Array to Oracle Database Receiving an Array from Oracle Database Pulling from REF CURSOR Using OracleDataReader...

Ngày tải lên: 27/06/2014, 06:20

... 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 ... integrate database back-end products and SQL databases in general 3.4 OLE DB for data mining architecture The OLE DB for data mining (DM) specification is an extension of the OLE DB for OLAP services ... 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...

Ngày tải lên: 08/08/2014, 22:20

... 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 ... large volumes of data, data mining has the connotation of searching for data to fit preconceived ideas This is much like what politicians around election time—search for data to show the success ... 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, ...

Ngày tải lên: 14/08/2014, 11:21

... For more 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 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 ... of Oracle Data Provider for NET, including Oracle XML Database Chapter 4, "Oracle. DataAccess.Client Namespace" Describes the classes and public methods Oracle Data Provider for NET exposes for...

Ngày tải lên: 18/10/2013, 17:15

... the data set for mining to best expose the information contained in it to the mining tool Indeed, the whole purpose for mining data is to transform the information content of a data set that ... transforming information The concept of 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 ... Transformations and Difficulties—Variables, Data, and Information Much of this discussion has pivoted on information—information in a data set, information content of various scales, and transforming...

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 ... normalization used in a database Recall that the assumption for this discussion is that the data is present as a single table Putting data into its various normal forms in a database requires use ... 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

... original information This 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 ... 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 ... between variables also needs to be considered In every data mining application, the data set used for mining should have some underlying rationale for its use Each of the variables used should have...

Ngày tải lên: 29/10/2013, 02:15

... numerating 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 ... standard deviation of the sample For large numbers of instances, which will usually be dealt with in data mining, the difference is miniscule.) There is another formula for finding the value of the ... 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...

Ngày tải lên: 29/10/2013, 02:15

... of the database upgrade process For detailed information about upgrading the database, see Oracle Database Migration For information about upgrading ODM, see Section 3.6 3.2.3 Database Initialization ... 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 ... 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...

Ngày tải lên: 04/11/2013, 12:15

... 0.8769 Forward 0.4940 0.4923 Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark Forward 0.6988 0.7692 Forward 0.4940 0.4462 Forward 0.6988 0.7538 Forward 0.4940 0.3231 Forward ... Zalapski Forward 37 Patrick Poulin Reserve 55 Igor Ulanov Forward 26 Martin Rucinsky Defense 43 Patrice Brisebois Forward 28 Marc Bureau Forward 27 Shayne Corson Defense 52 Craig Rivet Forward ... distance from there to each of the nearest data points in each dimension The mean distance to neighboring data points serves as a surrogate measurement for density For many purposes this is a more convenient...

Ngày tải lên: 08/11/2013, 02:15

... with putting data into the multitable structures called “normal form” in a database, data warehouse, or other data repository.) During the process of manipulation, as well as exposing information, ... Translating the information discovered there into insights about the data, and the objects the data represents, forms an important part of the data survey in addition to its use in data preparation ... a working data preparation computer program were also addressed In spite of the distance covered here, there remains much to to the data before it is fully prepared for surveying and mining Please...

Ngày tải lên: 08/11/2013, 02:15

... least harm to the information content of the data set Yet it still leaves some information exposed for the mining tools to use when values outside those within the sample data set are encountered ... are somehow regularized For instance, one such tool for a particular data set could, when fine-tuned and adjusted, just as well with unprepared data as with prepared data The difference was that ... work.) Third, and very important for maximum information exposure, the individual variable distributions are transformed This transformation makes the between-variable information far more accessible...

Ngày tải lên: 08/11/2013, 02:15

... 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, ... [248] We first consider the scenario that the whole database is initially used as the training set to build up the database indexing before the database is allowed to evolve under the assumption ... the whole image database Similarly, for every word wk ∈ W, we compute the prior probability P (wk ) by determining the relative occurrence frequency of wk for all the images in the database Given...

Ngày tải lên: 10/12/2013, 09:15

... Series Data Series data differs from the forms of data so far discussed mainly in the way in which the data enfolds the information The main difference is that the ordering of the data carries information ... series data set so that it can be accurately and completely characterized Find methods for manipulating the unique features of series data to expose the information content to mining tools Series data ... technique Figure 9.11 Waterforms and their correlograms 9.4 Modeling Series Data Given these tools for describing series data, how they help with preparing the data for modeling? There are two...

Ngày tải lên: 15/12/2013, 13:15

... transform accomplishes this The second transform subtracts the mean of the transformed variable from each transformed value, and divides the result by the standard deviation The formula for this ... transform accomplishes this The second transform subtracts the mean of the transformed variable from each transformed value, and divides the result by the standard deviation The formula for this ... uniform spectrum and uniformly low autocorrelation at all lags There still might be useful information contained in the waveform, but the chance is small This is a good sign that extra effort...

Ngày tải lên: 15/12/2013, 13:15

... than data preparation? Data preparation concentrates on transforming and adjusting variables’ values to ensure maximum information exposure Data surveying concentrates on examining a prepared data ... large for the mining tool the customer had selected, causing repeated mining software failures and system crashes during mining The data reduction methodology described above reduced the data ... nomenclature A function can be expressed as a formula, just as the formula for determining the value of the logistic function is For convenience, this whole formula can be taken as a given and represented...

Ngày tải lên: 15/12/2013, 13:15

... “information.” This book mentions “information” in several places “Information is embedded in a data set.” “The purpose of data preparation is to best expose information to a mining tool.” “Information ... that mining is not designed to extract information Data, or the data set, enfolds information This information describes many and various relationships that exist enfolded in the data When mining, ... term “information” is used in data mining Data possesses information only in its latent form Mining provides the mechanism by which any insight potentially present is explicated Since information...

Ngày tải lên: 15/12/2013, 13:15

... determining the confidence that the multivariable variability of a data set is captured, entropic analysis forms the main tool for surveying data The other tools are useful, but used largely for ... full range of calculations for forward and reverse entropy, signal entropy and mutual information, even for this simplified example, are quite extensive For instance, determining the entropy of each ... of the instances can be assembled into a data set, and that data set examined for similarity to the training data set, but that only tells you that the data set now assembled was or wasn’t drawn...

Ngày tải lên: 15/12/2013, 13:15