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[PDF] Top 20 Identifying Useful Data Dependency Using Agree Set form Relational Database

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Identifying Useful Data Dependency Using Agree Set form Relational Database

Identifying Useful Data Dependency Using Agree Set form Relational Database

... of database design, machine learning and knowledge discovery since early ...of dependency discovery is to find important dependencies holding on the data of the ...verify database design and ... See full document

5

An Effective Approach in Data Mining to Reduce Redundancies in Large Databases

An Effective Approach in Data Mining to Reduce Redundancies in Large Databases

... — Data mining (DM) is a step from Knowledge Discovery in Database (KDD) process, which is defined as a “nontrivial process of identifying valid, novel, potentially useful and ultimately ... See full document

5

Comparative Analysis of Data Redundancy and Execution Time between Relational and Object-Oriented Schema Table

Comparative Analysis of Data Redundancy and Execution Time between Relational and Object-Oriented Schema Table

... Abstract— Database design is one of the important phases in designing software because the database is where the data is stored in the ...in database design is the relational technique, ... See full document

5

TEXT BOOK Database System Concepts 6e Korth

TEXT BOOK Database System Concepts 6e Korth

... alternative database, we must ensure that every tuple pertaining to the His- tory department is updated, or else our database will show two different budget values for the History ... See full document

1376

Storage and Processing System of Meter Data Based on Hadoop

Storage and Processing System of Meter Data Based on Hadoop

... Do the read and write file operations on the HDFS distributed file system. The right table in figure 4 shows that when the total amount of the file is kept unchanged by 5000MB and the number of files increases from 10 to ... See full document

5

SQL For Dummies pdf

SQL For Dummies pdf

... sound database structure is criti- cal to data ...the data itself — not its structure. You want to do four things with data: Add it to tables, retrieve and display it, change it, and delete it ... See full document

435

Volume 2, Issue 3, March 2013 Page 578

Volume 2, Issue 3, March 2013 Page 578

... Existing object-oriented systems exhibit significant differencesin their support of the object-oriented paradigm. In this section, to establishour terminology, we review the basic object concepts which we have selected ... See full document

6

A Unified Database of Dependency Treebanks: Integrating, Quantifying & Evaluating Dependency Data

A Unified Database of Dependency Treebanks: Integrating, Quantifying & Evaluating Dependency Data

... Table 2 shows the results. The last column (LSF) should be read in the following way: the first two val- ues separated by a colon present the number of ele- ments needed to represent a word and any of word re- lated ... See full document

7

Date Classification through integration of Sequential process involving Data cleaning, attribute oriented induction, Relevance analysis as preprocessor to induction of decision tree USING RELATIONAL DATABASE

Date Classification through integration of Sequential process involving Data cleaning, attribute oriented induction, Relevance analysis as preprocessor to induction of decision tree USING RELATIONAL DATABASE

... primitive data stored in the database; it inherits the problems such as difficulties in handling large amounts of data and continuous numerical values, the tendency to favor many-valued attributes in ... See full document

8

A Design Specification and a Server Implementation of the Inverse Referential Integrity Constraints

A Design Specification and a Server Implementation of the Inverse Referential Integrity Constraints

... Existence of the SQL standard may be considered as one of the major reasons for the commercial success of relational databases. The RDBMSs' vendors make efforts to achieve high SQL standard compliance. Despite ... See full document

38

Characterisation Of Data Set Features For Storage Space Optimisation Using Functional Dependency

Characterisation Of Data Set Features For Storage Space Optimisation Using Functional Dependency

... inconsistent database; the modification can be done through deleting or inserting tuples or ...the database that violates a set of functional dependencies by modifying attribute ...inconsistent ... See full document

24

Big Data Management: Towards Managing & Analy...

Big Data Management: Towards Managing & Analy...

... of data storage as opposed to the petabytes or exabytes of data that big global enterprises ...have. Data volume will continue to grow, regardless of the organisation’s ...store data of all ... See full document

5

Geostatistical Modeling of Air Temperature Using Thermal Remote Sensing

Geostatistical Modeling of Air Temperature Using Thermal Remote Sensing

... to dependency of nature of thermal bands data to temperature, using thermal remote sensing images as auxiliary data can be useful in air temperature spatial ...distribution. ... See full document

7

An Analysis of Normalization Techniques in Database Management System

An Analysis of Normalization Techniques in Database Management System

... a relational database to minimize data ...isolate data so that additions, deletions, and modifications of an attribute can be made in just one table and then propagated through the rest of the ... See full document

5

Different Approaches to Modeling the Trees Data in Relational Database

Different Approaches to Modeling the Trees Data in Relational Database

... The hierarchies and trees data usually used in different domains for example: healthcare area. The tree structures facilitate the modeling of the System of information. They reduce complexity of connections ... See full document

5

Grid Data Services   Relational Database Management Systems

Grid Data Services Relational Database Management Systems

... Grid data requirements [9] has been divided up into work packages [1], [10], and Error! Reference source not ...Grid Data Services under OGSA [3] and ... See full document

24

Relational Dependency Networks

Relational Dependency Networks

... Undirected PRMs, such as relational Markov networks (RMNs) (Taskar et al., 2002), can rep- resent and reason with arbitrary forms of autocorrelation. However, research on these models has focused primarily on ... See full document

40

Syntactic and Semantic Structure for Opinion Expression Detection

Syntactic and Semantic Structure for Opinion Expression Detection

... However, it has been suggested that subjectiv- ity analysis is inherently more subtle than cate- gorization and that structural linguistic informa- tion should therefore be given more attention in this context. For ... See full document

10

Data Mining Using Relational Database Management Systems

Data Mining Using Relational Database Management Systems

... Weka data mining library, WekaDB, which allows the data used by the learning algorithms to reside on secondary ...new data mining algorithms, we believe that WekaDB provides an interesting benchmark, ... See full document

10

Relational Database Migration to Object Oriented Environment: A Re-engineering Approach

Relational Database Migration to Object Oriented Environment: A Re-engineering Approach

... loading relational data to the automated tool, and then inserting it into output database produced as a result of schema transformation and instance creation ...transfer data from ... See full document

13

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