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Should the Maastricht fiscal criteria be redefined?
Should the Maastricht fiscal criteria be redefined?

... liabilities do not affect the level of general government debt and deficit, they have so far gone largely unnoticed. In November 2011, the European Parliament and the European Council adopted an improved framework for the management of economic policy in the EU (the Enhanced Economic Governance Pack ...
No Slide Title - American University
No Slide Title - American University

... The four transaction properties are: • Atomicity requires that all parts of a transaction must be completed or the transaction is aborted. This property ensures that the database will remain in a consistent state. • Durability indicates that the database will be in a permanent consistent state afte ...
Searches for NP : non-SUSY scenarios
Searches for NP : non-SUSY scenarios

... - Eloss could be so large that M may stop in the beam-pipe ! EPJC xxx (2005) E. Perez ...
Dimensional Modeling
Dimensional Modeling

... A separate time dimension table should be constructed if a fine time granularity, such as minute or second, is needed. See above. A time dimension table of one-minute granularity will contain 24X60 = 1,440 rows for a day, and a table of seconds will contain 24X60X60 = 86,400 rows for a day. If exact ...
An introduction to creating JSF applications in Rational Application Developer Version 8.0
An introduction to creating JSF applications in Rational Application Developer Version 8.0

... interface for a set of tables in a database. The developer packages the code into a JAR file for use by the page developer. A page developer creates a new JSF-enabled Web application and imports the supplied JAR file from the application developer. The page developer creates a new JSF page for inter ...
The Euro and the Geography of International Debt Flow
The Euro and the Geography of International Debt Flow

... a further subsidy to risk taking. For a microeconomic model of ECB refinancing operations, see Cassola et al. (2013). ...
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Input the title of your manuscript - International Journal of Computer

... be represented in different forms such as a decision tree, set of rules, or support vector machines, to name a few. After the classifier completes the learning phase, it can predict the class of newly added data based on the model that it learned. Quite often a concept drift may occur due to changes ...
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... GoldMine Web users can use their browsers to connect anytime, from anywhere, with the rest of their team. GoldMine Web offers users the ability to manage all of their customer relationships by supporting everything from basic call center activities to management analysis and measurement functions vi ...
Runtime Translation of the Java Bytecode to OpenCL and GPU
Runtime Translation of the Java Bytecode to OpenCL and GPU

... library is designed in a way that allows distributed execution on many computing resources such as CPU, GPU or remote computers. When a result is received, it is passed to the set method of an object which implements the Destination interface. This method receives the resulted data and a task unique ...
Helping the Royal Shakespeare Company Achieve High
Helping the Royal Shakespeare Company Achieve High

... of Accenture’s regular clients. The theatre company required the same methodologies and leading-edge analytics software that would enable a global retailer or a financial multinational to achieve high performance. Working collaboratively with the RSC, Accenture profiled the theatre company’s current ...
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TBR Unparalleled demands on storage shift IT expectations for managed

... more efficiently. Combining those two elements with the deep understanding and experience that Dimension Data has built around managing storage and automation will enable the customer to benefit from the processes that have been developed. Storage management, based on policies and procedures that us ...
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AN OVERVIEW OF FRAGMENTATION DESIGN FOR DISTRIBUTED

... The emerging of smart phone and tablet market has generated big volume of data and it grown exponentially in every minute. This gigantic volume of data also has been named as Big Data. The cohesiveness between these data is low as data might or might not be related to each other. Thus, XML is a good ...
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... or non-existent? Can you meet your inventory management challenges? Can you ensure you’re accurately mapping CI’s in the cloud? Without visibility into IT applications and infrastructure dependencies, it is difficult and time‑consuming to prioritize, triage, and resolve incidents. An understanding o ...
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... The national transit functions within ASYCUDA++ are used to monitor and control the movement of goods in transit within the country. Controlled movements can include all forms of internal transit, such as:  Border to border (i.e. through transit);  Border to inland office, or inland office to bord ...
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... Examples of AJAX usage include GMail and Flickr. It is largely due to these and other prominent sites that AJAX has become popular only relatively recently – the technology has been available for some time. One precursor was dynamic HTML (DHTML), which twinned HTML with CSS and JavaScript but suffer ...
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... point out and discuss areas to be aware of and prepare for as well as listing many of the changes that you need to be aware of before and after an upgrade to DB2 9.7. 10:30 – 11:45: Building and Managing Efficient Data Access to DB2 Presenter: Vijay Bommireddipalli, IBM Managing performance of your ...
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... • Flush the data at specific business case intervals. For example, if performance of the DB seems to be poor around end of the month due financial reporting, consider using the Agile methodology to complete one iteration, then flush the data before the next iteration. • Keep the Max Size small enoug ...
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... IOVDbSvc takes care of the low level interactions with COOL IOVDbSvc ensures that the correct conditions objects are loaded into TDS for the event currently being analyzed ...
Simultaneous Pipelining in QPipe: Exploiting Work Sharing
Simultaneous Pipelining in QPipe: Exploiting Work Sharing

... Data warehousing and scientific database applications operate on massive datasets and are characterized by complex queries accessing large portions of the database. Concurrent queries often exhibit high data and computation overlap, e.g., they access the same relations on disk, compute similar aggre ...
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WM2003 - Knowledge Discovery Methods - An - CEUR

... [PR99]. This approach comprises six core processes and two pragmatic modules: identification, acquisition, development, distribution, use, and preservation of knowledge as well as objectives and performance measurement of knowledge. In addition, more or less similar classifications of knowledge mana ...
The Customer Marketing Database: Cutting Costs and Improving
The Customer Marketing Database: Cutting Costs and Improving

... Slow response time can indicate different things, depending on the question. For example, it may be necessary to know how many customers answered a survey question a certain way. A properly designed and well maintained customer marketing database should be able to deliver this answer within seconds. ...
SAS® System on Network Appliance: Performance Tuning a SAS® Environment with Network Appliance Filers
SAS® System on Network Appliance: Performance Tuning a SAS® Environment with Network Appliance Filers

... SAS NFS deployments have several important characteristics: SAS version, single host versus multiple hosts configuration, number of SAS sessions per host and host memory size versus SAS data set size. This section outlines each of these characteristics SAS Versions SAS currently has three major rele ...
SQL 2: GETTING INFORMATION INTO A DATABASE MIS2502
SQL 2: GETTING INFORMATION INTO A DATABASE MIS2502

... `CustomerID` INT NOT NULL , `FirstName` VARCHAR(45) NULL , `LastName` VARCHAR(45) NULL , `City` VARCHAR(45) NULL , `State` VARCHAR(2) NULL , `Zip` VARCHAR(10) NULL , PRIMARY KEY (`CustomerID`) ); ...
Semantic Wrapper over Relational Databases
Semantic Wrapper over Relational Databases

... LOCATION.east-UTM-in-key, NULL, NULL, NULL, NULL, NULL, NULL, IMAGE.* from LOCATION, IMAGE where time > '1993/01' and exists ( select * from FIXED-STATION where by-physical-observation-station-id = physical-observation-station-id-key and ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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