Search results for: Yanzhong Dang
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Journal of Systems Science and Systems Engineering > 2018 > 27 > 5 > 656-676
This paper studies how to determine task allocation schemes according to the status and requirements of various teams, to achieve optimal performance for a knowledge-intensive team (KIT), which is different from traditional task assignment. The way to allocate tasks to a team affects task processing and, in turn, influences the team itself after the task is processed. Considering the knowledge requirement...
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A large number of studies has shown that there are significant relationships among personality, interpersonal knowledge interaction and team performance. But in exiting researches the perspective is generally static and the framework is not comprehensive enough. On the basis of summarizing and generalizing related works, a new thought is put forward to bridge the gaps of present studies. From the...
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Recommender systems take advantage of dynamic and collective knowledge to make personalized recommendations to each user. Collaborative filtering as a well-known technique in recommender systems often encounters some challenges such as spare rating data and malicious attacks. Trust-based collaborative filtering employs the social trust network to make recommendations in order to alleviate the above...
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Interpersonal knowledge interaction is a bond that can help transfer individuals' knowledge to organizations' competitiveness. Interpersonal trust is the main outcome of interpersonal knowledge interaction and also has effects on the process of interpersonal knowledge interaction. On the basis of summarizing and generalizing related works, a new thought is put forward to fill the gaps of present studies...
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In recent years, the research of semi-supervised clustering has been paid more and more attention. For most of the semi-supervised clustering algorithms, a good initialization method can create the high-quality seeds which are helpful to improve the clustering accuracy. In the real world, there are few labeled samples but many unlabeled ones, whereas most of the existing initialization methods put...
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Lecture Notes in Computer Science > Knowledge Science, Engineering and Management > Short Papers > 425-436
Traditional classification methods in machine learning assume that training data and testing data should share the same feature space and have the same data distribution. In real world applications, however, this assumption often does not hold. If there are very few labeled instances in the target domain for training, it is time-consuming to label them manually. In this case, a source domain which...
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Clustering technique is widely used in data mining like gene-microarray analysis and natural language processing. When there are sufficient data samples and good representations, traditional clustering algorithms such as K-means can work well. But when the number of samples is small and the data representation is bad, direct use of clustering may yield bad results. In this paper we propose a new algorithm...
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Journal of Biomedical Informatics > 2012 > 45 > 1 > 156-164
NER (Named Entity Recognition) in biomedical literature is presently one of the internationally concerned NLP (Natural Language Processing) research questions. In order to get higher performance, a hybrid experimental framework is presented for the gene mention tagging task. Six classifiers are firstly constructed by four toolkits (CRF++, YamCha, Maximum Entropy (ME) and MALLET) with different training...
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Recently, interests in the notion of process-oriented knowledge management (POKM) from academia and industry have been significantly increased. This paper surveys the four different levels of intervention in process-oriented knowledge management, strategy, content, systems and processes. The survey also extracts some implications from the review on related issues. Finally, risks, limitations, and...
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Project review is always the key link of the Science and technology fund project management. Project review is a complex work which involves many factors. The final evaluation result is always influenced directly by the definition of various evaluation indexes and the corresponding weight. This paper mainly studies the judgment of the experts' ability and the establishment of the project evaluation...
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To represent the textual knowledge more expressively, a kind of semantic-based graph structure is proposed for this issue and thereafter applied to clustering problems. Such graph structure for textual representation consists of nodes and directed edges, which stand for the feature terms derived from the texts and the semantic relationships between them, respectively. Moreover, the weight is assigned...
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We built a weighted network model of 69 cities based on an express company's real air transportation network by regarding the total number of flights between pairs of cities as the weights of edges. According to the results of empirical study, we found that weighted air transportation network is of the characteristic of small-world and scale-free, we also discussed the network's correlations of betweenness-degree,...
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The efficient achievements management is much significance for the development of basic scientific research, and so all of the knowledge resources of achievements should be managed. In order to integrate the different types of knowledge resources of basic research achievements, this paper proposes a supernetwork model of knowledge resources. First, the person network, the material network and the...
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Chinese features extraction is indispensable in a processing of Chinese natural language because it is beneficial to Chinese text knowledge discovery and information retrieval. Chinese Segmentation is the precondition of features extraction. To conquer the disadvantage of current Chinese segmentation methods, such as lexicon-based scheme, syntax and rules-based scheme, statistics-based scheme and...
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For improving performance in automatically electronic documents processing, this paper proposes a concept of domain feature, which is defined as terms that can represent topics of a certain domain. Then it presents a non-lexicon-based approach automatically learning domain feature from text corpora. This approach combines the length first segment algorithm and domain feature possibility (DFP) algorithm...
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In order to promote knowledge sharing and knowledge reuse of scientific research achievements, this paper proposes a knowledge network model which acts as a direct access to the knowledge existed in the achievements. As knowledge network can be treated with a kind of complex networks, this paper then optimizes the primitive knowledge network model by analyzing its network characteristics. Figures...
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This paper proposes a new supernetwork model of a three-tier supply chain which consists of manufacturers, retailers, and ultimate consumers. In this model, the manufacturers who produce a homogeneous product can sell product not only to retailers but also directly to consumers by Internet, and only the retailers can return the unmarketable products to the manufacturers. The model gets equilibrium...
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This paper combines the visual characteristics of low frequency sub-image of DWT and the ability of DCT to remove correlation between DWT coefficients. By doing this, this paper improves a blind DCT watermarking algorithm to get a new color image digital watermarking schema based on DWT and DCT. The schema applies a self-adapted color component choosing strategy; Preprocesses the watermark by Logistic...
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For the need of revealing the structure and dynamics of science, text mining technologies have been widely used in extracting technical intelligence from research literature. To analyze the status of research fields, this paper applies text clustering to Chinese national science research proposals. By using vector-space model to represent the proposals, an improved Newman fast clustering algorithm...
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This paper applies text classification to mining research proposals for Chinese natural science funds. By using vector-space model to represent the proposals, the centroid-based classification has been carried out. And then the change of category members is analyzed through three variables defined to measure the stability, variability and overlapping of research fields, as the research field management...
