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In recent years, the State Grid has built amounts of business systems, e.g. OA, marketing and MIS systems. And it gradually developed into big data. However, with the construction of information increasingly deepening and a sharp increase of data volume, new challenges and inconvenience have been brought out for data seekers. In this paper, an architecture model of data integration in power field...
It is challenging to process real-time data analysis and prediction for a smart grid in a building with consideration of both occupant profile and energy profile. This paper proposed a distributed and networked machine learning platform on smart gateways based smart grid. It can analyze occupants motion, provide short-term energy forecasting and allocate renewable energy resource. Firstly, occupant...
Up to the present, the research on the value chain of tourism business is simply focused on the level of business organization or in the industry. Only a small part of the analysis and exploration is on the value chain of tourism destination. Yet, the destination works as a comprehensive system of value actualization in the tourism industry. Therefore, the research on the relevant issues is of great...
Short term load forecasting is an essential part of electric power system planning and operation. The fundamental problem is how to represent the time series data in load forecasting. One of the common approaches is coding, that is transforming the time series to another domain. This paper presents a novel dynamic coding method for time series. The method integrates the whole series information and...
Opinion mining is a growing interest task in both research and practical applications. It deals with the computational treatment of opinion, sentiment, and subjectivity in documents. This paper focuses on retrieving the opinion documents and giving their sentiment orientation. Mining and ranking the topic relevant opinion documents are implemented with a sentiment model, combining the existing knowledge...
To improve the efficiency of data mining in large transaction database, carrying out rapid mining by applying Fast-Apriori algorithm, which has better performance than Apriori algorithm.
Recently, the number of freely available online reviews is increasing in a high speed. More and more aspect based opinion mining technique has been employed to find out customers' opinions. In this paper, we only focus on categorize product features that the customers have commented on. An unsupervised twice-clustering based product features categorization method is proposed. Opinion words in context...
The web contains an abundance of semi-structured information, but not all the information is useful for users, it always contains so many noises such as the advertisement, navigation information, and so on. Identifying which parts of the web page contain target content and classify them into right category (such as title, author, time, content and so on) become a significant problem that must be solved...
For web content extraction task, researchers have proposed many different methods, such as wrapper-based method, DOM tree rule-based method, machine learning-based method and so on. To some extent, all these methods ignore the layout information of the webpage, although the layout information such as the spatial and visual cues often plays a very important role in the process of locating the main...
The development of Internet calls urgently for the ability to deal with massive textually represented geographical knowledge. Digital Gazetteer Service (DGS) plays a foundational role in this process. To help users to check and confirm the proper places quickly and efficiently, one of the key points of DGS is to rank place names according to their satisfaction with query conditions set by users. Match...
A new safe monitor information system of coal is to be established. Method: supported by GIS, the unified management of space and attribute data is achieved by adopting C/S and B/S together. Procedure: According to the concrete information of coal-information management, the overall structural design for system is done, the digital model of the system is analyzed, the functional structure of the system...
Pursuing on the analysis of product reviews, an unsupervised product features categorization method is proposed. Morphemes as smallest linguistic meaningful unit are induced in measuring the intra relationship among product features instead of words. Opinion words around product features are chosen to represent the inter relationship among product features instead of full context information. The...
This paper studies the web wrapper generation for web pages of forum, blog and news web sites. While more and more web pages are dynamically generated using a common template populated with data from databases. This paper proposes a novel method that uses tree alignment and transfer learning method to generate the wrapper from this kind of web pages. We present a new tree alignment algorithm to find...
The technique of outlier detection is useful in many real world applications such as detection of network intrusion. It has been studied intensively on deterministic data. However, it is still a novel research field on uncertain data. To our best knowledge, this paper is the first one to focus on distance-based outlier detection on uncertain data, in which each data is affiliated with a certain confidence...
This paper proposed an approach toward children surveillance using complex event processing (CEP) with sensor-based signals. Through receiving event streaming extracted from sensor signals, the system could trigger some complex events for further decision based on real-time CEP engine with event processing language (EPL). In wireless sensor network (WSN), different categories of sensing data could...
Currently there are increasing interests in using REST architecture style to implement business process. However, the importance of role is not emphasized. In fact role is critical to determine the RESTful services description and to control the services composition. This paper presents a role-centric RESTful services description and composition mechanism to implement business process. Firstly a resource...
This paper describes the design and implementation of a geographical knowledge-informed digital gazetteer service, KIDGS. It is a standard web service that provides unified XML-based access interfaces for various applications. At present, many digital gazetteer systems are implemented directly based on relational databases. In other words, place name entries are managed by data tables. However, several...
With more and more reviews on the Web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more attention. This paper pursues on the analysis of product reviews. It focuses on the product features that customer commented on and also whether their opinions are positive or negative. Different from the traditional method,...
The research on the automatic ontology construction has become very popular. It is very useful for the ontology construction to reengineer the existing knowledge resource, such as the thesauri. But many relationships in the thesauri are incorrect or are defined too broadly. Accordingly, extracting ontological relations from the thesauri becomes very important. This paper proposes the method to reengineer...
Tc-99m MDP whole body bone scan using single photon emission computed tomography (SPECT) is an important and general method to investigate the spreading of malignant tumors. However, it is time-consuming for doctors to perform three-dimensional (3D) assessment using SPECT images. Therefore, a computer-aided diagnosis (CAD) system is required to identify suspicious locations of bone abnormalities....
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