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Recommender systems have become an important research area both in industry and academia over the last decade. Memory-based collaborative filtering methods include user-based and item-based methods have been explored in many product domains for their simplicity. Memory-based collaborative filtering methods compute the average ratings between similar users or items to predict unrated entries. As a...
Location based services (LBS) is one of the fastest growing areas in recent years. Location update of mobile clients is fundamental in all types of LBS. But algorithms proposed in this field generally didn't concern the restricted context of road network and caused some unnecessary update. This paper proposed a revised vector-based update algorithm which taking characteristics of road network into...
The future of electric power is smart grid, one of the key parts is smart substation. The Technical guide for smart substation is published by State Gird Corporation of China for the construction of smart substation and Tri-status measuring and control device which includes the steady state measure, transient state measure and dynamic state measure is presented. The uniformed source data with the...
File carving is a digital forensic technique. It aims to reconstitute a file from unstructured data sources with no knowledge of the file system. This paper presents an automatically carving method for RAR files. Since RAR is one of the most popular archive formats, and it is widely used on the digital devices to package data for transport or storage. It is important for forensic investigation to...
Sentiment analysis aims to predict sentiment tendency automatically. Traditional methods tackling this problem are mostly based on supervised learning,but it is time-consuming and uneasy to extendable. In this paper,we provide a novel method of sentiment analysis based on un-supervised learning together with some language rules. It is no necessary to have a positive sentiment dictionary beforehand...
With the prevailing of malware, it is necessary to describe mal-program's behavior in an efficient way. In this paper, a malware behavior extracting system is addressed. It used Intel VT to trace malware's runtime system calls and extracted maximal patterns to describe malware behavior. A pattern's extracting algorithm is proposed to extract maximal patterns from system calls sequence. Real-world...
A fuzzy neural network (FNN) multi-step prediction model based on singular spectrum analysis (SSA) and mean generating function (MGF) for summer precipitation has been developed in this paper. In the modeling process, the original standardized sample series of summer precipitation was denoised and reconstructed with SSA, the extended matrix of MGF of the reconstructed precipitation series (as the...
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