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Grammar teaching and learning have always been important and difficult parts in L2 Chinese. This paper demonstrates a method for automatically extracting and recommending Grammar Points to L2 Chinese teachers and learners. First, a L2 Chinese grammar syllabus is reconstructed based on a corpus of international Chinese teaching materials. Second, a regular expression-based learning algorithm is explored...
The linkage between healthcare service and cloud computing techniques has drawn much attention lately. Up to the present, most works focus on IT system migration and the management of distributed healthcare data rather than taking advantage of information hidden in the data. In this paper, we propose to explore healthcare data via cloud-based healthcare data mining services. Specifically, we propose...
Data is becoming the world's new natural resource and big data use grows quickly. The trend of computing technology is that everything is merged into the Internet and 'big data' are integrated to comprise complete information for collective intelligence. With the increasing size of big data, refining big data themselves to reduce data size while keeping critical data (or useful information) is a new...
Based on the PARADISE (Platform for Applying, Researching and Developing Intelligent Search Engine), we construct a literature search engine with a collection of papers in computer network area. Besides retrieval, the system also provides comments and impact-based summaries of a paper. The comments are extracted from the citing papers and the summary is obtained from the paper sentences impacting...
Extracting knowledge from the transaction records and the personal data of credit card holders has great profit potential for the banking industry. The challenge is to detect/predict bankrupts and to keep and recruit the profitable customers. However, grouping and targeting credit card customers by traditional data-driven mining often does not directly meet the needs of the banking industry, because...
The criteria used to determine the residue contact is a fundamental factor in deriving knowledge-based mean force potential energy for protein structures. A commonly used criterion for two residues in contact is to require the sidechain center distance or the Calpha atom distance to be within a predetermined cutoff distance. However, the anisotropic nature of the sidechains can result in error in...
Scheduling for the flexible job-shop is very important in both fields of production management and combinatorial optimization. However, it is quite difficult to achieve an optimal solution to this problem with traditional optimization approaches owing to the high computational complexity. The combining of several optimization criteria induces additional complexity and new problems. Particle swarm...
This paper examines the design of full feed-forward sigma-delta modulator which is much more suitable for the CMOS digital process with low supply voltage than the traditional second-order feedback loop. The full feed-forward system reduces the modulator's sensitivity of the circuit nonidealities and decreases the internal signal swing to half the full scale. An implementation in a 0.35 ??m CMOS technology...
The data mining field proposes the development of methods and techniques for assigning useful meanings for data stored in databases. It gathers researches from many study fields like machine learning, pattern recognition, databases, statistics, artificial intelligence, knowledge acquisition for expert systems, data visualization and grids. Data mining represents a set of specific algorithms of finding...
This paper presents an approximation algorithm for word-replacement under a bi-gram language model. Words replacement is an key step in the decoding part of statistical machine translation. However, the word or phrase replacement step is often done at the same time with the target language generating process in machine translation while our algorithm focus on the special replacement model without...
A hybrid metaheuristic (HMH) algorithm is developed to solve the 1D and 2D multi-objective orthogonal single stock size cutting stock problem (SSSCSP). The objectives are to minimize the waste and the types of cutting patterns. The hybrid metaheuristic integrates greedy algorithm with genetic algorithms. Unlike traditional genetic algorithm (GA)-based approaches that optimize the whole cutting plan...
Using Complex System synergetic development fundamental principle, the paper researched the meaning and mechanisms of synergetic development for dasiaSupply and Demand Network with multi-functional and opening characteristics for enterprise (SDN)psila. Mathematics description and determinant condition of SDN synergetic development were presented then. At the same time, three-dimension hierarchy model...
Seismic exploration plays an important role in petroleum industry. It is widely admitted that there are a lot of limitations of conventional data analysis ways in oil and gas industry. Traditional methods in petroleum engineering are knowledge-driven and often neglect some underlying factors. On the contrary, data mining is to deal with mass of data and never overlook any important phenomena. Due...
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