Data Warehousing, Data Acquisition, Data Mining, Business
... • Data mining • Applying models and methods to data to identify patterns and trends ...
... • Data mining • Applying models and methods to data to identify patterns and trends ...
Information Technology and Datawarehousing An Overview
... Time-variant: Contain historical data, longer horizon ...
... Time-variant: Contain historical data, longer horizon ...
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... system and the back-end data processing platform. The front-end system is in charge of capturing the image data of the passing vehicles, identifying the vehicle features, and sending the vehicle information to the back-end data processing platform . In the back-end platform, many machine learning al ...
... system and the back-end data processing platform. The front-end system is in charge of capturing the image data of the passing vehicles, identifying the vehicle features, and sending the vehicle information to the back-end data processing platform . In the back-end platform, many machine learning al ...
KBB: A Knowledge-Bundle Builder for Research Studies
... Schema mapping ([Xu03,Xu06], …) Data integration ([Biskup03]) Semantic enrichment (MOGO) Advanced analytic algorithms (Giraud-Carrier: knowledge-based semantic distance, record linkage, and hybrid social networks; best-effort, quick answers [Zitzelberger thesis]) Performance ([Al-Muhammed0 ...
... Schema mapping ([Xu03,Xu06], …) Data integration ([Biskup03]) Semantic enrichment (MOGO) Advanced analytic algorithms (Giraud-Carrier: knowledge-based semantic distance, record linkage, and hybrid social networks; best-effort, quick answers [Zitzelberger thesis]) Performance ([Al-Muhammed0 ...
Abstract
... be not only stored in the cloud, but also shared across multiple users. However, public auditing for such shared data— while preserving identity privacy — remains to be an open challenge. In this paper, we propose the first privacy-preserving mechanism that allows public auditing on shared data stor ...
... be not only stored in the cloud, but also shared across multiple users. However, public auditing for such shared data— while preserving identity privacy — remains to be an open challenge. In this paper, we propose the first privacy-preserving mechanism that allows public auditing on shared data stor ...
An Ontology-based Metadata Management System for
... conceptualization of a domain. Information models (such as the HL7 RIM) and standardized vocabularies (such as UMLS) can be part of an ontology. An ontology provides a core component in a Knowledge-Based System. In the clinical research field, ontologies have been used in computerized guideline mode ...
... conceptualization of a domain. Information models (such as the HL7 RIM) and standardized vocabularies (such as UMLS) can be part of an ontology. An ontology provides a core component in a Knowledge-Based System. In the clinical research field, ontologies have been used in computerized guideline mode ...
Whitepaper: The Multi-Model Database: Enabling Business
... Third, it provides an enhanced development environment that includes a broad range of scripting and programming languages, enhanced web services/XML, strong support for mobile development and, of course, cloud deployment. 5. Bring SQL to the next level: SQL is an important tool for interacting with ...
... Third, it provides an enhanced development environment that includes a broad range of scripting and programming languages, enhanced web services/XML, strong support for mobile development and, of course, cloud deployment. 5. Bring SQL to the next level: SQL is an important tool for interacting with ...
Data sources - More Years, Better Lives
... Director of the Max Planck Institute for Demographic Research and member of the JPI Scientific Advisory Board. ...
... Director of the Max Planck Institute for Demographic Research and member of the JPI Scientific Advisory Board. ...
database
... management's decision making process". Bill Inmon (1990) "A Data Warehouse is a repository of integrated information, available for queries and analysis. Data and information are extracted from heterogeneous sources as they are generated.…” Anonymous ...
... management's decision making process". Bill Inmon (1990) "A Data Warehouse is a repository of integrated information, available for queries and analysis. Data and information are extracted from heterogeneous sources as they are generated.…” Anonymous ...
Mapping - The Atlas Program
... data in order to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection) and dependencies (association rule mining). These patterns can then be seen as a kind of summary of the input data, and used in further analysis or ...
... data in order to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection) and dependencies (association rule mining). These patterns can then be seen as a kind of summary of the input data, and used in further analysis or ...
Introduction to Data Warehousing
... Data warehouse is organized around subjects such as sales, product, customer. It focuses on modeling and analysis of data for decision makers. Excludes data not useful in decision support process. ...
... Data warehouse is organized around subjects such as sales, product, customer. It focuses on modeling and analysis of data for decision makers. Excludes data not useful in decision support process. ...
Enterprise Data Management
... • Provide a business orientation as foundation for Information Systems methodology • Offer recognition of value of the analysis and understanding of data and its metadata (corporate assets) • Establish information requirements definition and instill data management practices into course organization ...
... • Provide a business orientation as foundation for Information Systems methodology • Offer recognition of value of the analysis and understanding of data and its metadata (corporate assets) • Establish information requirements definition and instill data management practices into course organization ...
FP7 SeaDataNet general poster
... continued under FP6 (2006 - 2011) as SeaDataNet with a wider focus including harmonised access to data. It is continued under FP7 (2011 - 2015) as SeaDataNet II. It is undertaken by the National Oceanographic Data Centres (NODCs), and marine information services of major research institutes, from 31 ...
... continued under FP6 (2006 - 2011) as SeaDataNet with a wider focus including harmonised access to data. It is continued under FP7 (2011 - 2015) as SeaDataNet II. It is undertaken by the National Oceanographic Data Centres (NODCs), and marine information services of major research institutes, from 31 ...
Developing, Managing & Using Customer
... the business – customers and products - rather than around applications ...
... the business – customers and products - rather than around applications ...
UCPATH Data Dissemination Operational Data Store (DDODS) (docx)
... Secondary objectives of the DDODS pertain to consumption of DDODS data by local business applications, local operational reporting use and as an enabler of unique or localized Data Shaping needs (e.g. offsetting the need for new UCPath interfaces). The DDODS is comprised of a number of enabling tech ...
... Secondary objectives of the DDODS pertain to consumption of DDODS data by local business applications, local operational reporting use and as an enabler of unique or localized Data Shaping needs (e.g. offsetting the need for new UCPath interfaces). The DDODS is comprised of a number of enabling tech ...
Data Mining and Data Warehouse
... – Integrate multiple heterogeneous sources and make it consistent – The data from different sources may use different names for the same entities ...
... – Integrate multiple heterogeneous sources and make it consistent – The data from different sources may use different names for the same entities ...
Slides - SEAS - University of Pennsylvania
... Transaction : an atomic sequence of database actions (read/write) on data items (e.g. calendar entry) Recoverability via a log: keeping track of all actions carried out by the database But there’s a cost to all of this! ...
... Transaction : an atomic sequence of database actions (read/write) on data items (e.g. calendar entry) Recoverability via a log: keeping track of all actions carried out by the database But there’s a cost to all of this! ...
download
... Attributes Analysis Attribute analysis is a process of looking at all of the values populating a particular column as a way to characterize that set of values. Attribute analysis is the first step in profiling because it yields a significant amount of metadata relating to data set. The result of an ...
... Attributes Analysis Attribute analysis is a process of looking at all of the values populating a particular column as a way to characterize that set of values. Attribute analysis is the first step in profiling because it yields a significant amount of metadata relating to data set. The result of an ...
Spatial Database Engine
... • ArcSDE is an engine residing between a spatiallyenabled RDBMS and ArcGIS desktop. • ArcSDE and the GDB enables GIS for the Enterprise ...
... • ArcSDE is an engine residing between a spatiallyenabled RDBMS and ArcGIS desktop. • ArcSDE and the GDB enables GIS for the Enterprise ...
Privacy-Preserving Data Mining
... The Data Revolution • The current data revolution is fueled by the perceived, actual, and potential usefulness of the data. • Most electronic and physical activities leave some kind of data trail. These trails can provide useful information to various parties. • However, there are also concerns abo ...
... The Data Revolution • The current data revolution is fueled by the perceived, actual, and potential usefulness of the data. • Most electronic and physical activities leave some kind of data trail. These trails can provide useful information to various parties. • However, there are also concerns abo ...
Project Overview - Center for Systems and Software Engineering
... Data Mart, running in a G5 partition, provides readonly access to aeronautical and adaptation data Data providers can connect only via IP addresses known by NASE Data providers have no server access other than to deliver data to a NASE-assigned file All data input is staged on the NASE server, and o ...
... Data Mart, running in a G5 partition, provides readonly access to aeronautical and adaptation data Data providers can connect only via IP addresses known by NASE Data providers have no server access other than to deliver data to a NASE-assigned file All data input is staged on the NASE server, and o ...
Database Technologies - Boston College Personal Web Server
... – a database designed to support decision-making in an organization. It is batch-updated and structured for fast online queries and exploration. Data warehouses may aggregate enormous amounts of data from many different operational systems. ...
... – a database designed to support decision-making in an organization. It is batch-updated and structured for fast online queries and exploration. Data warehouses may aggregate enormous amounts of data from many different operational systems. ...
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk.Analysis of data sets can find new correlations, to ""spot business trends, prevent diseases, combat crime and so on."" Scientists, business executives, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research.Data sets grow in size in part because they are increasingly being gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×1018) of data were created; The challenge for large enterprises is determining who should own big data initiatives that straddle the entire organization.Work with big data is necessarily uncommon; most analysis is of ""PC size"" data, on a desktop PC or notebook that can handle the available data set.Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires ""massively parallel software running on tens, hundreds, or even thousands of servers"". What is considered ""big data"" varies depending on the capabilities of the users and their tools, and expanding capabilities make Big Data a moving target. Thus, what is considered ""big"" one year becomes ordinary later. ""For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.""