Regulatory Reporting System Technical White
... complex institutions with a variety of accounting systems, RRS can merge different holdings feeds into one consolidated feed for processing. Several exception and status reports are available to indicate the status of the merging process. Also, different feeds can be used for different aggregation a ...
... complex institutions with a variety of accounting systems, RRS can merge different holdings feeds into one consolidated feed for processing. Several exception and status reports are available to indicate the status of the merging process. Also, different feeds can be used for different aggregation a ...
model-based engineering for laser weapons
... revolutionary advances across the entire DoD research and development and procurement cycle [Boehm 2010]. To be effective, however, MBE requires robust underlying modeling and simulation technologies capable of modeling all the pertinent systems, subsystems, components, effects, and interactions at ...
... revolutionary advances across the entire DoD research and development and procurement cycle [Boehm 2010]. To be effective, however, MBE requires robust underlying modeling and simulation technologies capable of modeling all the pertinent systems, subsystems, components, effects, and interactions at ...
What*s New in MongoDB 3.2
... With MongoDB 3.2, we will now be able to implement the data governance we’re seeking, without sacrificing agility that comes from dynamic schema. The newfound ability to use familiar MongoDB expression syntax to control document structure, rather than learning a whole new language or process, is key ...
... With MongoDB 3.2, we will now be able to implement the data governance we’re seeking, without sacrificing agility that comes from dynamic schema. The newfound ability to use familiar MongoDB expression syntax to control document structure, rather than learning a whole new language or process, is key ...
GigaTensor: Scaling Tensor Analysis Up By 100 Times
... is a basis for many interesting applications including clustering, trend detection, anomaly detection [22], correlation analysis [30], network forensic [25], and latent concept discovery [20]. There exist two, widely used, toolboxes that handle tensors and tensor decompositions: the Tensor Toolbox f ...
... is a basis for many interesting applications including clustering, trend detection, anomaly detection [22], correlation analysis [30], network forensic [25], and latent concept discovery [20]. There exist two, widely used, toolboxes that handle tensors and tensor decompositions: the Tensor Toolbox f ...
data model
... “Operations for specifying database retrievals and updates by referring to the concepts of the data model.” Operations on the data model may include basic operations and user-defined operations. (e.g. A user-defined operation is COMPUTE_GPA which can be applied to a STUDENT object.) ...
... “Operations for specifying database retrievals and updates by referring to the concepts of the data model.” Operations on the data model may include basic operations and user-defined operations. (e.g. A user-defined operation is COMPUTE_GPA which can be applied to a STUDENT object.) ...
Particle Swarm Optimisation for Outlier Detection
... it is based on a simple concept, it does not assume a specific distribution model and also can handle high dimensional data. Given a data set, a point is considered an outlier if a fraction 1 − β of the data points is further than r (distance threshold) from that point. The two parameters r and β ar ...
... it is based on a simple concept, it does not assume a specific distribution model and also can handle high dimensional data. Given a data set, a point is considered an outlier if a fraction 1 − β of the data points is further than r (distance threshold) from that point. The two parameters r and β ar ...
Scaling Up with SQL Server 2008
... The collection mode can be set to cached or non-cached. The collection mode affects the type of jobs and schedules that exist for the collection set. ...
... The collection mode can be set to cached or non-cached. The collection mode affects the type of jobs and schedules that exist for the collection set. ...
Facing the Reality of Data Stream Classification: Coping with Scarcity of Labeled Data
... where xi is the ith instance in the stream, S is the chunk size, Di is the ith data chunk, and Dn is the latest data chunk. Assuming that the class labels of all the instances in Dn are unknown, the problem is to predict their class labels. Let yi and ŷi be the actual and predicted class labels of ...
... where xi is the ith instance in the stream, S is the chunk size, Di is the ith data chunk, and Dn is the latest data chunk. Assuming that the class labels of all the instances in Dn are unknown, the problem is to predict their class labels. Let yi and ŷi be the actual and predicted class labels of ...
View PDF - CiteSeerX
... on features of the data. Many of them are based on decision tree technology introduced by Quinlan [3], while others employ various techniques such as implication rule search. Classi cation problems exist in a variety of domains. A classic classi cation problem is that of a lending institution in sea ...
... on features of the data. Many of them are based on decision tree technology introduced by Quinlan [3], while others employ various techniques such as implication rule search. Classi cation problems exist in a variety of domains. A classic classi cation problem is that of a lending institution in sea ...
behavior based credit card fraud detection using
... fraud detection. CARDWATCH, a data base mining system proposed by Aleskerov et al. [7]. It was based on neural networks. In this model, customers past transactions are trained in the neural network. Then the network checks the current spending pattern with the past data, if deviations appear then it ...
... fraud detection. CARDWATCH, a data base mining system proposed by Aleskerov et al. [7]. It was based on neural networks. In this model, customers past transactions are trained in the neural network. Then the network checks the current spending pattern with the past data, if deviations appear then it ...
Handling Errors That Occur When Writing Data to Remote
... How the system responds to these errors depends on whether multiple rows are inserted in a single DBMS call, whether the target access method allows processing to continue after the error, and the Write Mode connection attribute. The following examples demonstrate how the system responds to certain ...
... How the system responds to these errors depends on whether multiple rows are inserted in a single DBMS call, whether the target access method allows processing to continue after the error, and the Write Mode connection attribute. The following examples demonstrate how the system responds to certain ...
MS SQL/SSIS/SSRS Developer
... Implemented SSIS data transformation scripts, created maintenance procedures and provided data integrity strategies. Administered and enhanced SQL Server Integration Services (SSIS) data loads Actively supported business users for change requests. Gathered business requirements, definition and desig ...
... Implemented SSIS data transformation scripts, created maintenance procedures and provided data integrity strategies. Administered and enhanced SQL Server Integration Services (SSIS) data loads Actively supported business users for change requests. Gathered business requirements, definition and desig ...
Sparse Subspace Clustering - The Center for Imaging Science
... each data point in a union of subspaces can always be written as a linear or affine combination of all other points. By searching for the sparsest combination, we automatically obtain other points lying in the same subspace. This allows us to build a similarity matrix, from which the segmentation of ...
... each data point in a union of subspaces can always be written as a linear or affine combination of all other points. By searching for the sparsest combination, we automatically obtain other points lying in the same subspace. This allows us to build a similarity matrix, from which the segmentation of ...
Recommendations for the Care and Feeding of P
... `Errors of the First Kind' (i.e. how often the hypothesis is rejected when it is in fact true) is then alpha, and not the p-value. The p-value may be reported but its actual value is not relevant to the statistical conclusion. 5. A p-value measures the probability of observing DATA at least as extr ...
... `Errors of the First Kind' (i.e. how often the hypothesis is rejected when it is in fact true) is then alpha, and not the p-value. The p-value may be reported but its actual value is not relevant to the statistical conclusion. 5. A p-value measures the probability of observing DATA at least as extr ...
SuciuVLDB99 - CSE, IIT Bombay
... • HTML documents • all intended for human consumption • many generated automatically by applications ...
... • HTML documents • all intended for human consumption • many generated automatically by applications ...
Optimization Techniques for Processing Large Files in an OpenVMS
... permanently removed from the WORK library even before the program terminates. Most novices of OpenVMS make a mistake by using the same dataset name over and over. Unlike other platforms, OpenVMS does not overwrite the previous dataset; it creates a new version for each repeated dataset. Although thi ...
... permanently removed from the WORK library even before the program terminates. Most novices of OpenVMS make a mistake by using the same dataset name over and over. Unlike other platforms, OpenVMS does not overwrite the previous dataset; it creates a new version for each repeated dataset. Although thi ...
SAS/PH-Clinical Software: CANDA Implementation Strategies
... remain different, analysis variables must have consistently defined values in order to permit useful integrated analyses. Since in~ial setup to allow access to individual CRF data files is straightforward in SAS/PH-Clinical software, ~ can be used as a exploratory tool in making standardization deci ...
... remain different, analysis variables must have consistently defined values in order to permit useful integrated analyses. Since in~ial setup to allow access to individual CRF data files is straightforward in SAS/PH-Clinical software, ~ can be used as a exploratory tool in making standardization deci ...
aqsproto
... be able to view, print, save to a file, or submit a “batch” query (for large extractions). This function will have the ability to drill up or down to the previous or next logical set of data. Selection criteria for this function include Data Type, Geography, Date(s), Monitoring Attributes, and ...
... be able to view, print, save to a file, or submit a “batch” query (for large extractions). This function will have the ability to drill up or down to the previous or next logical set of data. Selection criteria for this function include Data Type, Geography, Date(s), Monitoring Attributes, and ...
THIRD GRADE MATHEMATICS EXIT STANDARDS
... M1E-b4 Addition, Subtraction, and Multiplication of Decimals: ...
... M1E-b4 Addition, Subtraction, and Multiplication of Decimals: ...
Business Intelligence and Cognos
... In a relational database, the rows of a table represent records (information about separate items) and the columns represent fields (attributes of a record). A relational database matches information from a field in one table with information in a corresponding field of another table to produce a th ...
... In a relational database, the rows of a table represent records (information about separate items) and the columns represent fields (attributes of a record). A relational database matches information from a field in one table with information in a corresponding field of another table to produce a th ...
MySpacePoster
... databases, and other transient files. The novel feature of the MySpace system is that the scratch space is geographically dispersed, typically with stores at the various sites hosting AstroGrid services. Users can access and navigate MySpace seamlessly and easily, the network details of the individu ...
... databases, and other transient files. The novel feature of the MySpace system is that the scratch space is geographically dispersed, typically with stores at the various sites hosting AstroGrid services. Users can access and navigate MySpace seamlessly and easily, the network details of the individu ...
Machine and Statistical Learning for Database Querying
... • Rely on frequent itemsets to learn graphical models • Rely on the model to solve the selectivity estimation problem – Given a conjunctive query Q, estimate the size of the answer set, i.e., how many transactions satisfy Q ...
... • Rely on frequent itemsets to learn graphical models • Rely on the model to solve the selectivity estimation problem – Given a conjunctive query Q, estimate the size of the answer set, i.e., how many transactions satisfy Q ...
Synchronization and replication in the context of mobile applications
... There are many technical implications that come with resource replication, or data replication as it will also be referred to. The main requirement in data replication is, that replicas should functionally behave like servers, that are not replicated. This strict requirement can not always be fulfi ...
... There are many technical implications that come with resource replication, or data replication as it will also be referred to. The main requirement in data replication is, that replicas should functionally behave like servers, that are not replicated. This strict requirement can not always be fulfi ...
Lecture 6
... – P(x,y) methods can still learn a model of P(x), even when some features are not measured. – The EM algorithm can be applied to fill in the missing features with the most likely values for those features – A simpler approach is to replace each missing value by its average value or its most likely v ...
... – P(x,y) methods can still learn a model of P(x), even when some features are not measured. – The EM algorithm can be applied to fill in the missing features with the most likely values for those features – A simpler approach is to replace each missing value by its average value or its most likely v ...
SQLSaturday-567_From_MDS_to_SSRS_
... Create data source in SSAS project and add view to data source view Build dimension with user-defined hierarchies Integrate dimension into existing cube ...
... Create data source in SSAS project and add view to data source view Build dimension with user-defined hierarchies Integrate dimension into existing cube ...
Data analysis
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis.Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination. The term data analysis is sometimes used as a synonym for data modeling.