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In academic libraries, electronic resources usually dominate the expenditure, but their usage is not systematically analyzed. Usage analysis usually requires manual integration of reports from various vendors in different formats via diverse channels. This makes it difficult to evaluate the cost effectiveness. In this poster, we implemented a systematic model to aggregate heterogeneous resources for...
Recently, categorization methods based on association rules have been given much attention. In general, association classification has the higher accuracy and the better performance. However, the classification accuracy drops rapidly when the distribution of feature words in training set is uneven. Therefore, text categorization algorithm Weighted Association Rules Categorization (WARC) is proposed...
Online health forums provide a large repository for patients, caregivers, and researchers to seek valuable information. The extraction of patient-reported personal health experience from the forums has many important applications. For example, medical researchers can discover trustable knowledge from the extracted experience. Patients can search for peers with similar experience and connect with them...
Objective: To analyze the component law of Chinese medicines for osteonecrosis of the femeral head, and develop new prescriptions for osteonecrosis of the femeral head through unsupervised data mining methods. Methods: Chinese medicine recipes for osteonecrosis of the femeral head were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of...
Support vector machine (SVM) is a popular method for classification in data mining. The canonical duality theory provides a unified analytic solution to a wide range of discrete and continuous problems in global optimization. This paper presents a canonical duality approach for solving support vector machine problem. It is shown that by the canonical duality, these nonconvex and integer optimization...
Malware is currently a major threat to information and computer security, with the volume and growing diversity of its variants causing major problems to traditional security defenses. Software patches and upgrades to anti-viral packages are typically released only after the malware's key characteristics have been identified through infection, by which time it may be too late to protect systems. Multiple...
Based on auditory masking effect, WAV format audio signal is programmed to embed a DWT (discrete wavelet transform) efficient digital watermarking algorithm of WAV format VF watermarking, conducting the embedding of the watermarking, extraction and anti-piracy properties research by using Matlab7.0 programming. Simulation results show that VF watermarking, embedded in the algorithm has good imperceptibility,...
Assessing patent similarity is a fundamental and critical step in patent citation analysis. When evaluating a similarity among two patents, considering both direct and indirect citation links leads to more precise similarity assessment. This study proposes a method for assessing patent compound similarity that includes direct and indirect similarities. Given a direct similarity matrix that represents...
Utility mining is proposed to consider additional measures, such as profits or costs according to user preference. In the past, a two-phase mining algorithm was proposed for fast discovering high utility itemsets from databases. In this paper, an incremental mining algorithm to efficiently update high utility itemsets is proposed for record insertion. Experimental results also show that the proposed...
Advances in nonlinear dimensionality reduction provide a way to understand and visualize the underlying structure of complex data sets. The performance of large-scale nonlinear dimensionality reduction is of key importance in data mining, machine learning, and data analysis. In this paper, we concentrate on improving the performance of nonlinear dimensionality reduction using large-scale data sets...
With rapid development of web 2.0 technology and e-business, bloggers play significant roles in the blogosphere as well as the external world. In particular, influential bloggers can bring great business values to modern enterprise. Despite that several systems for mining influential bloggers are available, they measure the influence of bloggers in general rather than domain specific, which is not...
Information extraction systems are traditionally implemented as a pipeline of special-purpose processing modules. A major drawback of such an approach is that whenever a new extraction goal emerges or a module is improved, extraction has to be re-applied from scratch to the entire text corpus even though only a small part of the corpus might be affected. In this demonstration proposal, we describe...
One of key issues in patent analysis is identifying time interval for querying patent records from databases. Inquiring patents with inappropriate time interval will lead to biased results that either emphasizes old patents or cannot reveal the structure of a technology area. The study proposed a systematic method for deciding the inquiring time interval, based on the patent's obsolescence cycle....
Without the ground truth image, there is no proper objective method to evaluate sprite generation. In this paper, we propose several complex camera motion patterns to generate synthetic video from original images. Our camera motion patterns include rotation, affine, and pan-tilt-zoom (PTZ) transformations. In addition, they also include combined patterns. Subsequently, we applied sprite generation...
As an important tool, clustering analysis is used in many applications such as pattern recognition, data mining, machine learning and statistics etc. K-means clustering, based on minimizing a formal objective function, is perhaps the most widely used and studied. But k the number of clusters needs users specify and the effective initial centers are difficult to select. Meanwhile, it is sensitive to...
Referring to the possible problem of gyro random drift effect on the Line of Sight (LOS) stabilization accuracy, a method for the LOS stabilization based on visual attitude estimation is proposed. A monocular vision system is established by four coplanar reference points on the ground and a double-focus CCD camera in the carrier. The quaternion is used to represent the transform relation between geodetic...
Teaching Assistants (TAs) can play a major part in project education, being an extra pair of eyes and hands for the lecturer. TAs are usually senior students and by becoming a TA these students stop being part of the group of students. They become part of the staff and take on part of the responsibility for the learning and grading of fellow students. To make sure the TAs are prepared for these tasks,...
The paper presents issues for an optimized three-axis accelerometer implementation. A VerilogA model was built for sensor design, the overall sensitivity, noise and frequency response are obtained by co-simulation with circuit tools. The critical parameters were optimized by theoretical calculation and fine tuned by finite-element-analysis (FEA) and integrated nodal simulation. Three spring-proof...
The proposed scheme of this paper is embedding watermark into intra frame (I-frame). The most challenge of watermark that embedded into intra frame is the selection of intra prediction might be changed. In the research, different AC coefficient gets different effect when the selection of intra prediction was changed in another compression course. Therefore, it's necessary that finding what AC coefficients...
Classification and regression tree (CART) is a statistical method used for marketing segmentation and classification. On the other hand, rough sets are the newly developed method which is used to deal with the complex problem of classification. In this paper, the above methods are integrated for marketing segmentation and classification. From the empirical result, we can conclude that the proposed...
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