This paper presents a novel framework for predicting stock trends and making financial trading decisions based on a combination of Data and Text Mining techniques. The prediction models of the proposed system are base...
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A three-stage methodology for the extraction of maternal and fetal heart rate using abdominal ECG leads, is presented. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are d...
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In this paper, we present a prototype tool that automates the process of detecting, gathering and visualizing multi-language software metrics at an intermediate-language level. More specifically, the current version o...
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ISBN:
(纸本)9780889867055
In this paper, we present a prototype tool that automates the process of detecting, gathering and visualizing multi-language software metrics at an intermediate-language level. More specifically, the current version of our tool focuses on code written using the Microsoft Visual Studio .NET software development environment. It facilitates the process of locating and extracting software metrics found at the MSIL (Microsoft Intermediate Language) level. We illustrate the basic functionality of our tool and we discuss a preliminary case study performed in order to verify its functionality and validate its usefulness. Based on the results of this study, we continue improving the tool. Our broader research goal is to show that complexity analysis of multi-language software, when it is done at an intermediate language level, it can be as effective as when conducted at the level of each individual language. This will eventually eliminate the need for developing different syntax parsers for each programming language used to develop multi-language software. The prototype tool described in this paper is the first step towards accomplishing such an objective.
The small screens on increasingly used mobile devices challenge the traditional visualization methods designed for desktops. This paper presents a method called "Radial Edgeless Tree" (RELT) for visualizing ...
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Most of the current trust models in peer-to-peer (P2P) systems are identity based, which means that in order for one peer to trust another, it needs to know the other peer's identity. Hence, there exists an inhere...
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Knowledge reduction is one of the most important issues in rough sets theory. Many works are related to connection-degree-based rough sets model to treat incomplete informationsystems. However, the model is not used ...
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Economics-driven software mining (EDSM) sifts through the repository data to extract information that could be useful for reasoning about not only the technical aspects but also the economics properties related to the...
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Although modern day people gather many data from the network, the users want only the information needed. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use th...
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ISBN:
(纸本)9780769529301;0769529305
Although modern day people gather many data from the network, the users want only the information needed. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use the single data in the document, frequency of the data for example, it cannot be considered as the effective data clustering method. What is needed is the effective clustering technology that can process the electronic network documents such as the e-mail or XML that contain the tags of various formats. This paper describes the study of extracting the information from the user query based on the multi-attributes. It proposes a method of extracting the data such as the sender, text type, time limit syntax in the text, and title from the e-mail and using such data for filtering. It also describes the experiment to verify that the multi-attribute based clustering method is more accurate than the existing clustering methods using only the word frequency.
Multimedia information services in mobile environments are becoming more and more important with the proliferation of 3G technologies. Media streaming, in particular, is a promising technology for providing services s...
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ISBN:
(纸本)159593765X
Multimedia information services in mobile environments are becoming more and more important with the proliferation of 3G technologies. Media streaming, in particular, is a promising technology for providing services such as news clips, live sports, and hot movies on the fly. To avoid service interruption when the users keep moving, proper data management strategies must be employed. We propose a new headlight prefetching technique for the streaming access points to deal with the uncertainty of client movement and the requirement of seamless service hand-off. For each mobile client, we maintain a virtual fan-shaped prefetching zone along the direction of movement similar to the headlight of a moving vehicle. The overlapping area and the accumulated virtual illuminance of the headlight zone on a particular cell determines the degree and volume of prefetching to be made by the streaming access point of that cell. Headlight prefetching solves the issues of identifying the streaming access points responsible for prefetching, the timing and the amount of data to prefetch in a single mechanism which is simple and effective. Simulation results demonstrate that our techniques can significantly decrease streaming disruptions, reduce bandwidth consumption, increase cache utilization and improve service response time. Copyright 2007 ACM.
Filtering is a method of attaining only the wanted data and blocking the unwanted ones. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use the single data, fre...
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Filtering is a method of attaining only the wanted data and blocking the unwanted ones. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use the single data, frequency of the data for example, it cannot be considered as the effective filtering method. What is needed is the effective technology that can process the electronic network documents such as the e-mail that contain the tags of various formats. This paper describes the study of extracting the information from the user query based on multi-attributes. It proposes a method of extracting the data such as the sender, text type, time limit syntax in the text, and title from the e-mail. It also describes the experiment to verify that multi-attribute based filtering method is more accurate than the existing filtering method.
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