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Organizational knowledge structure is a reflection of organizational knowledge system. In this paper, we study organizational knowledge structure¡¯s construction based on patent documents using text mining method. Its construction process is as follows: Firstly, patent documents of organization are collected...

The variation of attribute values is an important case in the dynamic EBusiness systems. With the rapid increase and update of data sets in business database everyday, a new incremental model, approach as well as its algorithm is presented for rule induction under coarsening and refining of attribute...

The Logistics of production is an important part of enterprises logistics. Whether it can be smooth is related closely to the economic benefit and business competitiveness. In order to better the efficiency, making processes of production rational and plan the layout of equipments are needed. Presently,...

In this paper, an agent-based architecture is proposed to integrate distributed heterogeneous Knowledge Base. BBS is used as the public information exchange platform to implement an asynchronous uncoupling communication mechanism. A group of agents is deployed to every Knowledge Base node to complete...

Sentiment classification aims at mining word-of-mouth, reviews of consumers, for a product or service by automatically classifying reviews as positive or negative. Few empirical studies have been conducted in comparing the different effects between machine learning and semantic orientation approaches...

Well-known notions of equivalence such as trace equivalence and bisimulation have been used to compare workflow processes; they describe the equivalence of processes whose activities are identical in each step. Possessing exactly the same activity in each step is quite rigorous, and sometimes we may...

The research question of this study attempts to identify which are the leading factors for the adoption of a sourcing Software as a Service model for Business Intelligence applications. The objective is to build a model containing enabling factors for the adoption of BI solutions. We seek to expand on...

Argumentation-based approach to negotiation, which allows agents to exchange additional information or argue their beliefs and other mental attitudes during the negotiation, is gaining increasing popularity for its potential ability to overcome the limitations of conventional approaches. In this paper,...

A closed-loop supply chain of revenue distribution model consists of a manufacturer, a Third-Part Logistics and a retailer is founded, revenue of each cooperative coalition in different cooperative ways is given based on cooperative game theory. Results indicate that cooperation will bring each cooperative...

This paper aims at exploring the user¡¯s contribution in different social media sites, and further examining what factors will influence user¡¯s motivation to participate in UGC. After a brief literature review, the authors collect data from 8 social media sites and analyze the quantitative relationship...

Finding out keywords from massive text document is a hard problem because an amount of synonyms are frequently used in a text. This paper proposes a keyword mining algorithm based on analyzing the ¡°frequent patterns¡± of the words in a text. We use a new method referring the cluster process to determine...

Healthcare is the largest industry in the world, and set to grow even larger as the world's population ages. Presently, the US leads the world in medical technology; it also spends twice as much per capita on healthcare as other developed nations, the result of inefficiencies in the system and the increasing...

This paper uses CNKI as search source, and uses ¡®Web2.0¡¯ as the key word to search the research papers related to Web2.0 during the period of 2005?2009 in China. By using Bibliometric methods, this paper analyzes the overall situation, existing problem, solution strategies and trends of the domestic...

Visual-based automatic product image classification is a great need and challenge work for e-commerce field. Previous work tested few number product categories with one or two descriptors. For the task of product classification over large number categories, we employed kernel-based SVM classifier combining...

As a powerful BI tool, dashboard is currently on the decision-makers' top concern lists. Many studies have been conducted on how to develop dashboard in the hospital environment, especially in the emergency departments (ED) where the doctors need precise, real time information of their patients in order...

The association rule mining (ARM) is an important method to solve personalized recommendation problem in e-commerce. However, when applied in personalized recommendation system in mobile ecommerce(MEC), traditional ARMs are with low mining efficiency and accuracy. To enhance the efficiency in obtaining...

Mobile business is one of young promising e-commerce industries. In mobile business scenario, PKI and certifications have been the premier solution to secure mobile transactions. However, client devices with limited computing and storage resources have difficulties to discover and validate the certification...

With the rapid development of online shopping, the simple form of online shopping can not meet the personalized needs of consumers. The paper studies the decision support system for usercustomized products online. This paper concentrates on the differences in consumer behavior through an experimental...

This paper uses bibliometric methodology to study the performance evaluation of e-government website in China from

When to implement IT investment is important, the revenue and cost of IT investment are flustering with great uncertainty, so defining rational their variation is the base for assessing the value and occasion of IT investment. The IT investment cost is described by geometrical Brownian motion, and the...

The traditional modes of advertisement are usually unproductive with huge input. And consumers are often forced to watch ads that are not useful to them. This paper provides a new way of advertising to improve both the producers' and consumers' utility. The new mode allows audience to choose the ads...

The virtual enterprise (VE) partner selection, which is a business process throughout the whole business operation, is critical for the VE operation. But it is often affected by many factors from politics, economics, social status, psychology and culture background. And the relationship development between...

With the rapid development and profound changes in the Chinese economy, the early stage growth patterns which largely depended on low labor costs are facing serious challenges. Small and medium manufacturing enterprises (SMEs) are upgrading management and service to improve productivity efficiency and...

In this paper, we introduced intervalvalued fuzzy matrices (IVFMs) as the generalization of interval-valued fuzzy sets. Some essential unary and binary operations of IVFM and some special types of IVFMs i.e., symmetric, reflexive, transitive and idempotent, constant, etc. are defined here. The idea of...

Vehicle routing problem is an important research topic in management science. Most traditional Vehicle routing studies are static models. Integrating the latest development of information technologies, such as ¡°3S¡± geomatics technology and computer, communication and network modern high-techs, this...

In this paper, we consider the Service Ecosystems of cloud computing is emerging. We present the Architecture of cloud computing¡¯s Service Ecosystems, and describe Service Ecosystems working mechanism, then analyze the service composition the of Service Ecosystems. Value network is analyzed by identifying...

Segmentation is becoming crucial than ever for proper exploration of information and delivery of services to the users in a personalized manner. This paper proposes a user segmentation method based on association rules discovered in large databases, and represents the hierarchical segmentation by the...

Performance measurement experienced stage of financial measurement, stage of value management measurement and stage of combination of financial measurement and non-financial measurement. Introduction of OL(organizational learning) to performance management can strengthen implementation of strategy and...

Communication plays a central role in virtual team performance, but its research results have not always been in agreement with each other. Using a general IPO model, this paper proposed hypotheses from the perspective of Media Synchronism Theory, and conducted a meta-analysis to test the relationships...

Internet Ads is one of the important forms of E-business activities, due to its high targeting, rich contents, flexible media as well as high interactivity. Since the economy and Internet development of different regions in China are quite differentiated, the Internet Ads of different regions have significant...

The idea of Context-based Mobile Knowledge Support System (CMKSS) is to provide three kinds of support based on a user's context and needs, namely, knowledge support, guide support and language practice support. An integrated knowledge representation method to represents the demand profile and supply...

Mobile TV is a fledgling industry which has high profit expectations while with low adoption rates. To advance this line of research, this paper presents a comprehensive review on literatures related to mobile TV adoption, including traditional adoption theories, uses and gratification research, domestication...

The field of recommender systems has reached an important milestone in Fall 2009 when the $1,000,000 Netflix Prize Competition has successfully completed its course. Since then, there has been an attempt made in the recommender systems community to access what has been accomplished and identify new promising...

In this paper, we have studied some properties of imprecise numbers, namely, interval numbers and triangular fuzzy numbers. Also we studied the imprecise matrices of different kinds. Using the operations defined on them, we have proposed the orthogonality of such matrices and some theorem for those type...

Descriptions of cloud computing often emphasize the silver lining more than the chances of getting wet. Utility computing offers many benefits, but will the cloud ¡ª especially the public cloud ¡ª lead to the extinction of CIOs because IT will be consumed as simply as electricity? No doubt, cloud computing...

The cosine similarity, also known as uncentered Pearson Correlation, has been widely used for mining association patterns, which contain objects strongly related to each other. However, it is often used as a post-evaluation measure and is computationally prohibitive for large data. To this end, we develop...

Whereas prior research has paid little attention to the effect of CRM system on internal process control, this case study illustrates control-related CRM usage by investigating how effective sales management control through CRM and why. Results show that the CRM application can strengthen formal control...

Semantic analysis of a concept map plays an important role in translating human knowledge in the form of concept maps into rigorous and unambiguous representations for further processing by computers. However, recent research limits in the literal analysis of concept labels and concept relatedness that...

In this paper, we proposed a similarity matrix based method to mining maximal frequent patterns from large database. The study is very different from the previous Apriori-liked method. Especially, the method can be performed directly on the original data in database without various format transformation....

This paper proposes two models about semantic web mining based on domain ontology mapping and gives domain ontology mapping rules. In the first model we semantic annotate web resources based on domain ontology mapping rules, and then implement web mining to get semantic knowledge rules; In the second...

E-business domains, such as e-commerce, e-government, e-learning, e-banking, have been considered for long time as killer domains for several data analysis techniques in order to analyze the data stored in their websites¡¯ databases. Most of the researchers have been focusing on using the Data Mining...

Through the Johansen Co-integration test and the Granger-causality test, we found that the volatility in Chinese stock markets has been affected by the the volatility in United States stock market, however, we have not found that Chinese stock markets would co-move along with the United States market...