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The use of the big data analytics (BDA) platform is increasingly becoming prevalent in the data sciences. However, BDA processes consume resources and time excessively. Automating BDA processes is a cognitive approach to the BDA domain, which is most impaired by its heavy consumption of time and resources. However, the BDA workflow is highly dependent on diversified constraints because of the high...
In this article a synoptic review of machine learning techniques with imbalanced data and a class of corresponding learning algorithms is presented. This class of algorithms includes the meta-algorithms: Cost sensitive, Metacost, Rotation forest-cost sensitive, rotation forest-smote. Four learning algorithms (with base classifiers J48 and part processing with F-measure and a predetermined imbalanced...
With the continuously development of enterprise informatization, the effect of group enterprise scale effect and fine management preliminary reveals, scientific decision-making difficulty is greatly increased, business intelligence applications demand urgently. Against this backdrop, this paper through the research of BI and a company using the BI components for nuclear power maintenance business...
In order to extract valuable knowledge from massive intelligent power consumption data to support decision-making, an intelligent power consumption business intelligence system architecture based on cloud computing technology is proposed in the paper. First, the design principle and architecture of the system are introduced. And then the key techniques and algorithms to mine knowledge from massive...
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...
The rapid development of enterprises rises an important impetus to improve business productivity and core competence. Insurance industry business intelligence systems can be used to build enterprise data warehouses, master data view and establish analysis and decision support systems which can remarkably improve the efficience of enterprise. This paper analyzes the business intelligence applications...
SQL Server2005 is a stronger intelligence decision support platform. This paper discusses how to apply SQL Server 2005 to develop intelligence application on high education and expatiates upon the implementation thought of the key segments when applied in Shanghai High education Development Intelligence Decision System.
Data Mining (DM) is a knowledge discovery process by using statistical theory and artificial intelligence algorithms, the application in business and other areas have started. This article focuses on the general DM technology and its application in the operations of supermarket, especially discusses the specific use of DM in the process of customer relationship management (CRM).
In this paper, authors have introduced the new terminology Agriculture Intelligence for agricultural business. Authors have shown the current trends of the Agri-Business concept using Intelligence, limitation of current Information Technology in the domain of agriculture and try to overcome the same. Authors have also proposed architecture model. Such architecture takes care of data availability from...
In Web environment,information is easier to get for the retail enterprises. However, knowledge discovery in databases become increasing difficulty. Data sources in Web environment is unstructured, these data need to enter the business intelligence through the pretreatment system. Business Intelligence enables retail to be intelligence and automation, including market basket analysis, customer value...
With the rapid development of online shopping, on-line one-to-one marketing becomes a great assistance to e-shoppers. One of the most important marketing resources is the prior daily transaction records in the database. In this study, the paper propose a new methodology for predict e-shoppers' purchase behavior that uses e-shoppers' purchase sequences. First, transaction clustering is conducted, then...
Business Intelligence (BI) capitalized on data-mining and analytics techniques for discovering trends and reacting to events with quick decisions. We argued that a new breed of data-mining, namely stream-mining where continuous data streams arrive into the system and get mined very quickly, stimulates the design of a new real-time BI architecture. In the past, stream-mining (especially in algorithmic...
International competition and dynamically changing customer demands lead SME's to join dynamically formed, `smart' enterprise networks aiming to increase their competitiveness and market share. Supporting such networks with decision making related to collaborations and providing adaptive user interfaces are key challenges. In this paper, we use furniture manufacturing SME's as a case study and we...
Decision making is an important task for enterprise managers, and is typically based on various data sources derived from information systems, such as enterprise resource planning, supply chain management and customer relationship management. Numerous business intelligence tools (BI) thus have been developed to support decision making. Some existing BI tools have several limitations, for example lacking...
The category of systems that support the decision process is defined as the "business intelligence" term. On the whole, this regards all kinds of computer tools that add "Intelligence" to the business process. The traditional or operational application integration, along with a range of programs for data analysis or from the category of expert systems provides an effective basis...
With the supplier data of supermarket, the business intelligence system was developed. The paper made use of data guiding into and guiding out service tool of Microsoft SQL Server 2005 as ETL tool. A mass of data needed for analyzing and decisionmaking were separated from affair database by taking out, transition, cleanout, loading. The data warehouse facing supplier theme was established by Microsoft...
In order to solve the condition that E-Commerce is inefficient and relies largely on labor, a B2B E-Commerce Model (MAECS) based on the Multi-agent system (MAS) was introduced. This system focused on distributed FIPA-Agent OS based multi-agent system, and introduced the facilitator such as buyer agent and seller agent. This system reduced communication traffic effectively, realized the asynchronous...
Automatic Web services composition can be achieved by using AI planning techniques. HTN planning has been adopted to handle the OWL-S Web service composition problem. However, existing composition methods based on HTN planning have not considered the choice of decompositions available to a problem which can lead to a variety of valid solutions.In this paper, we propose a model of combining a Markov...
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