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Stateful data analytics framework have emerged to provide fresh and low-latency results for big data processing. At present, it is desired to achieve the fine-grained data model in mainstream data processing framework, e.g. Spark. However, Spark adopts coarse-grained data model in order to facilitate parallization, it makes the fine-grained data access in stateful data analytics very challenging....
Terrorist attacks launched by extremist groups or individuals have caused catastrophic consequences worldwide. Terrorism risk assessment therefore plays a crucial role in national and international security. Fuzzy reasoning-based terrorism risk assessment systems offer a significant potential of providing decision support in combating terrorism, where highly complex situations may be involved. However,...
Oil-gas reservoir data center is an important issue in the process of information construction of digital oilfield. In light of the heterogeneous data in oil and gas reservoir and various types of researches and decisions, by setting up the unified data standard and database norm, a digital reservoir data center is established to develop a series of key technologies, such as reservoir data link technology,...
Surfing on the online social networks is becoming a daily experience of many modern people. Many factors cause users to willingly share their privacy information in online social networks. However, leaking privacy information online is a double-edged sword. On the one hand, privacy leakage may improve user's influence in online social networks, and acquaint more online friends. On the other hand,...
Due to the potential applications in social and political science, research on public opinion formation and diffusion have been increasing for a long time. Many researchers have developed numerous dynamics models, and they have used a wide variety of statistical, computational, and mathematical methods to understand the spread of public opinion in online social networks. So far, in some standard public...
Recommender systems aim to provide users with personalized suggestions about information items, products or services that are likely to be of their interests. The traditional syntactic-based recommender systems suffer from a number of shortcomings for the information available on the internet has been designed to be readable only by humans and computer systems can not effectively process nor interpret...
The relationship between the gearbox's running state and the characteristic parameters is complex and nonlinear. In this paper, a diagnostic method for BP neural network gear box's running state based on principal component analysis is proposed. The method is mainly extracted from 8 main characteristic parameters and 10 groups of training samples. On this basis, the BP neural network classifier is...
The design is mainly directed against neural network has a strong nonlinear mapping ability to be effective in the expression of expertise and know-how to the establishment of empirical knowledge of experts from the input space to the output of the nonlinear mapping space. Classic control theory, such as root locus method and frequency response methods, are also called by experience and knowledge...
Recently, Web-based news publishing is evolving fast, as many other Internet services, and nowadays this service is trying to adapt information in manners that better fit user's interests and capabilities in the digital space. In this paper, we propose a semantic link network portal for multimedia content recommendation. The portal is based on Semantic Link Network technologies and attempts to build...
With the application of semantic Web service and semantic Grid service, the similarity measure between services are more and more important in the processing of service matching. By formally defining the similarity of semantic services, useful information can be obtained about their similarity and compatibility. In this paper, we propose a concept similarity matching method based on semantic distance...
In the traditional information service system, the lack of service personalization and semantic information influences the intelligence of information service, and decreases the quality of service. Cooperative recommendation has emerged as an effective technology for personalized information access. In this paper, we present a framework of cooperative recommendation based on ontology construction...
This paper discusses a approach of Chinese text classification on semantic Web. It is given one classified technology based on the semantic concept established on the "How-net" . It extracts keywords from text, analyses the full text using the keywords concept, and then the integrates to classify by categories of keywords semantic concept. It has been tested that this approach has good effect.
At present, Web services are created and updated on the fly. It has already beyond the human ability to analysis them and generate the composition plan manually. It is a problem that composing existing Web services automatically and dynamically according to userspsila request. A number of approaches have been proposed to tackle that problem. Most of them are inspired by the researches in cross-enterprise...
In the traditional information service system, the lack of service personalization and semantic information influences the intelligence of information service, and decreases the quality of service. In this paper, we propose the cooperative recommendation system based on ontology construction. We first construct domain ontology, and construct user interest ontology by the mapping relations between...
Traditional model of association rule mining is adapted to handle weighted association rule mining problems where each item is allowed to have a weight. The goal is to steer the mining focus to those significant relationships involving items with significant weights rather than being flooded in the combinatorial explosion of insignificant relationships. We discuss the use of association rules mining...
The notion of finding similarity between objects is used in many domains, such as information retrieval, collaborative filtering and service matching. Objects are often modeled as sets, and the measures for comparing objects' similarity are traditionally based on set intersection. Intersection-based methods can not accurately capture the similarity when there are human intuitional relationships between...
It is recognized that text information on Web is growing at an astounding pace. Research and application of text mining on Web is an important branch in the data mining. Now people mainly use information retrieval (IR) or the search engine to look up Web information. But IR focuses on searching for information that is explicitly present but not latent knowledge in some document, the search engine...
Now people use the search engine - Google, Yahoo, Baidu etc. to lookup Web information mainly, but these search engines involve so wide range, with whose intelligence degree is pool. They are very difficult to mine data further. So, Web text mining aims to resolve this problem. This paper discusses an algorithm of how to follow the appointed Web site or Web page according to the user's request by...
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