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Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques

... Conferences: Machine learning (ML), AAAI, IJCAI, COLT (Learning Theory), CVPR, NIPS, etc. Journals: Machine Learning, Artificial Intelligence, Knowledge and Information Systems, IEEE-PAMI, etc. ...
Library Cache Hit Ratios
Library Cache Hit Ratios

... This is the proportion of full table scans which are occurring on short tables. Short tables may be scanned by Oracle when this is quicker than using an index. Full table scans of long tables is generally bad for overall performance. Low figures for this graph may indicate lack of indexes on large t ...
Principles of Data Management
Principles of Data Management

... of software tools that assist computer development staff to engineer and maintain software systems, normally within the framework of a structured method. Column The logical structure within a table of a relational database management system (RDBMS) that corresponds to the attribute in the relational ...
Implementing a Taxonomy
Implementing a Taxonomy

... Editorial data is the easiest of all to deal with in terms of entering, storing, and displaying because it does not require extensive overhead to ensure transactional compliance. An editorial approach typically aligns well with a generic view of data. Editorial data can use a single-table approach, ...
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... (Data Architects / Modelers Domain) DBMS DEPENDENT & ...
Docteur de l`Université Louis Pasteur Strasbourg 1
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... 4.1.2.4 Proteins that bind to the 5’ and 3’ untranslated regions of mRNAs mediate negative translational control .............................................................46 4.1.2.5 Gene expression can be controlled by a change in mRNA stability....47 4.1.2.6 RNA interference is used by cells to ...
ITS232 - Universiti Teknologi MARA
ITS232 - Universiti Teknologi MARA

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using dbms_stats

... indexes. For example, the optimizer makes its worst choices on a join when one table is analyzed and one is not. It will use Oracle-defined default values when statistics do not exist Statistics will need to be gathered periodically as they become stale over time due to changing data volumes or data ...
Migrating to Virtual Data Marts using Data Virtualization
Migrating to Virtual Data Marts using Data Virtualization

... Technologies Used – As  indicated,  data  marts  can  be  developed  with  different  data  storage  technologies.  The  most  popular  form  is  a  SQL  database.  In  this  case,  a  separate  set  of  tables  is  developed  in  a  SQL  database.  Technically,  this  set  of  tables  may  be  defi ...
Further Web services with .NET and PHP
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... • Three XML document stores each with different features • XmlDocument • the primary document store • supports W3C standards for XML document (DOM), plus useful additional features that make it easier to access the contents ...
Incremental Maintenance of Views with Duplicates
Incremental Maintenance of Views with Duplicates

... studied extensively [27, 4, 3, 6, 7, 14, 29, 12, 5, 18, 26]. The name is slightly misleading since, as a reading of this literature will indicate, any solution to the problem is applicable in a large number of practical problems, including integrity constraint maintenance, the implementation of acti ...
Data security best practices ® A practical guide to implementing
Data security best practices ® A practical guide to implementing

... Row permissions and column masks are two new database concepts that are introduced to address the shortcomings of traditional row and column access control methods. They represent a second layer of security that complements the current table-privileges security model. More specifically, the table-pr ...
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EMC BACKUP AND RECOVERY OPTIONS FOR VSPEX FOR VIRTUALIZED ORACLE 11GR2

... technology that leverages existing IT infrastructure while eliminating planning, sizing, and configuration burdens. VSPEX provides Oracle infrastructures for customers who are looking to simplify the environment while at the same time gaining more choice in individual stack components. EMC backup an ...
A Comparison of SQL Access and DRDA
A Comparison of SQL Access and DRDA

... but the variants of SQL and the way in which they are used by a client application are dramatically different. SQL Access uses a common subset approach in which a single language is used. The single, standard SQL variant gives client applications uniform SQL syntax and semantics on any conforming se ...
PowerPoint Presentation - Computationally
PowerPoint Presentation - Computationally

... the DNA strand that represents the tile you are looking for (created from image you selected in the image selection box). This search strand is "dipped" into the DNA database that represents the image. Simulation of DNA Annealing: - between search strand and database strands - Determines Probability ...
Transactions - Dr Gordon Russell
Transactions - Dr Gordon Russell

... The goal in a ‘concurrent’ DBMS is to allow multiple users to access the database simultaneously without interfering with each other. A problem with multiple users using the DBMS is that it may be possible for two users to try and change data in the database simultaneously. If this type of action is ...
JobScheduler - Installation Guide - SOS
JobScheduler - Installation Guide - SOS

... Alternatively, a jTDS JDBC® driver, delivered with the JobScheduler setup, can be used for Microsoft® SQL Server and Sybase databases. Similarly, the MariaDB® driver is delivered with the JobScheduler setup, for use for MySql® Server and MariaDB® databases. For IBM® DB2 a JDBC® driver inlusive the l ...
lesson2.2
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... where avg-balance > 1200 Note that we do not need to use the having clause, since we compute the temporary (view) relation result in the from clause, and the attributes of result can be used directly in the where clause. ...
Getting to know the ins and outs of Oracle Partitioning in Oracle
Getting to know the ins and outs of Oracle Partitioning in Oracle

... – Interval partitioned tables have always one million partitions • Non-existent partitions “exist” through INTERVAL clause • No MAXVALUES clause for interval partitioning – Maximum value defined through number of partitions and INTERVAL clause – Range partitioning can have up to one million partitio ...
File and Database Systems
File and Database Systems

... • From this point on, access to the file is directed through the file descriptor • To enable fast access to file-specific information such as permissions, the open-file table often contains file control blocks, also called file attributes: – Highly system-dependent structures that might include the ...
Designing a framework for end user applications
Designing a framework for end user applications

... End user developers (i.e. non-professional developers) often create database applications to meet their immediate needs. However, these applications can often be difficult to generalise or adapt when requirements inevitably change. As part of this thesis, we visited several research institutions to ...
Emergency Training Simulation Design
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slides1 - Santa Clara University
slides1 - Santa Clara University

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Data Mining
Data Mining

... U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy. Advances in Knowledge Discovery and Data Mining. U. Fayyad, G. Grinstein, and A. Wierse, Information Visualization in Data Mining and Knowledge Discovery, Morgan J. Han and M. Kamber. Data Mining: Concepts and Techniques. Morgan Kaufma ...
Chapter 13: File and Database Systems
Chapter 13: File and Database Systems

... • From this point on, access to the file is directed through the file descriptor • To enable fast access to file-specific information such as permissions, the open-file table often contains file control blocks, also called file attributes: – Highly system-dependent structures that might include the ...
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Clusterpoint

Clusterpoint is a privately held European technology company developing and supporting Clusterpoint database software platform. Company was co-founded by software engineers with expertise in Big data computing. Founders were dissatisfied with complexity, scalability and performance limitations of relational database architecture. The first version of the product was released in 2006. Company is venture capital backed.Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability and security.Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML and JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform.Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Database also supports essential SQL query, that can be combined with free text search in a single REST API.For most of its history Clusterpoint was servicing business customers as an enterprise software vendor.In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database is available as a cloud service (DBAAS). The latest Clusterpoint database production version is 3.0, released in February, 2015.
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