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Research data repositories are necessary infrastructures that ensure the data generated for research are accessible, stable, reliable, and reusable. Based on years of accumulated data work experience, the Computer Network Information Center of the Chinese Academy of Sciences has built a multi-disciplinary data repository ScienceDB for research users and teams using its big data storage, analysis and...
This paper studies design and implementation of precision marketing system on business platform of telecom network package, and proposes the analysis and mining technology based on distributed processing technology, for massive business payment data. Then the mining results are applied to final scheme of precision marketing strategy implementation. The scheme uses K-Means to segment users-based business...
GitHub is the largest collaborative source code hosting site built on top of the Git version control system. The availability of a comprehensive API has made GitHub a target for many software engineering and online collaboration research efforts. In our work, we have discovered that a) obtaining data from GitHub is not trivial, b) the data may not be suitable for all types of research, and c) improper...
In the emerging field of big data, a large volume of data has to be managed, operating on data of huge volume becomes easier when it's sorted and structured. The data can be structured using a simple algorithm i.e. index algorithm which stores and categories data on basis of their application. This in turn will be very beneficial on business level as well as on software level.
With the advent of the era of network, video surveillance technology is more and more integrated into the IT emerging technologies. Big data technology in the field of video surveillance has shown a broad development path. The research of surveillance video data mining based on big data is committed to achieve a perfect fusion of the big data technology and video surveillance business, in order to...
Cloud computing offers readily available, scalable infrastructure to tackle problems involving high data volume and velocity. Discovering processes from event streams, especially when the business processes execute in a cloud environment, is such a problem. Event stream data is generated rapidly with varying volume and must be processed on-the-fly, making stream processing an important use case for...
Business Intelligence (BI) provides historical, current and predictive views of business operations with the help of some technologies, that include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. As analytics plays a major role in...
In distributed systems, database migration is not an easy task Companies will encounter challenges moving data including legacy data to the big data platform. This paper reviews some tools for migrating from traditional databases to the big data platform and thus suggests a model, based on the review.
In recent years, with the rapid development of modern information technology, now the amount of data produced every 18 months is about equal to the sum of the past thousands of years and it has a rising trend. So much data will undoubtedly bring people a vast amount of information, but the difficulty of finding useful knowledge for the enterprise or individual from the vast amount of data has increased...
Currently, enterprises are running with many applications simultaneously to accomplish their business processes more appropriately and precisely. The real challenge for the enterprises is to build strong relation between those applications in terms of technical, development and data integration. Enterprise application integration (EAI) solutions are there to facilitate enterprises as an intermediary...
Full life cycle health records service is the core of the regional health information platform. The file information which is various and massive includes basic personal information, major diseases and health problems, women and children health information, disease prevention and control, disease management information. Because of different targets, we need different ways to show and have an efficient...
The article describes the design and implementation of generic situation layer building way oriented to the separate database. By designing general separate database metadata describing model and battlefield situation layers describing model, and constructing the describe of dynamic mapping and transforming relation between database metadata describing model and battlefield situation Layers describing...
In paper, in order to use the data produced in the development process of epc system network reasonably, Cloud Computing (CC) and the related technologies are presented, and the conception and architecture of Business Intelligence (BI) are introduced. Then the platform architecture of BI based on CC technology, which is also named as the platform architecture of “CC & BI”, is put forward and compared...
According to the two problems of huge amounts of data and how to use them in the process of intelligent power consumption construction, combined with the advantages of cloud computing and related technical methods of business intelligence system, in paper, architecture of business intelligence platform based on cloud computing has been put forward, and compared with traditional architecture of business...
In this paper we describe an algorithm to automatically detect correlation identifiers from arbitrary data sources. Correlation identifiers can be useful for determining relationships between data in order to isolate instances of a running business process for the purposes of process monitoring and discovery. We have implemented our algorithm and validate our approach on a simulator that implements...
The application system constructed by use of data warehouse is a new form of decision-making support system. The data warehouse system involves a great deal of time consumption in its building process and problems often occur in its daily operation, among which the most common one is the realization of ETL (Extraction Transformation Loading). ETL realizes the data extraction, transformation and loading...
In today's fast-changing, competitive environment, a complaint frequently heard by data warehouse users is that access to time-critical data is too slow. Shrinking batch windows and data volume that increases exponentially are placing increasing demands on data warehouses to deliver instantly-available information. Additionally, data warehouses must be able to consistently generate accurate results...
As the volume of data increasing sharply and the relationship among different data sources becoming intricately, how to integrate mass data sources and how to find latent information from the integrated data is a matter of urgency. At present, industry tends to adopt distributed computing model to solve the integration of massive data. Aiming at getting the valuable and in-depth information, visualization...
Compare with SOAP-based service that based on interfaces access pattern, RESTful web service is HTTP-based and use resource as the operation object. On the purpose of supporting RESTful in the enterprise information application, a Resource-oriented Information Supported Framework is constructed based on ontology construction and evolution. First, the initial ontology with relational pattern is extracted...
Recent technological advances in many networks and applications, particularly the Internet and the World Wide Web (WWW), have generated a huge amount of information available to users. A recommender system in E-Commerce is an intermediary program (or an agent) with a user interface that automatically and intelligently generates a list of information which suits an individual's needs. In this paper,...
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