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Clustering algorithms based on Grid are attractive for the task of data partition in spatial database. In the background of big data more and more research focuses on how to solve the conflict between efficiency and accuracy of clustering. Existing Grid-based clustering algorithms generally have a high time efficiency without considering the distribution of the data inside a grid. In this paper, a...
Data of information cascade in social network is always incomplete with missing information of the links between nodes. This paper proposes a generative probabilistic model to infer links using the observation data. Comparing to existing methods, we take consideration of differences of links. And we are also in view of recurrent events and influence from outside of the cascade. Our hawkes process...
Software process tailoring is critical for software organizations, since project defined process is tailored from organizational standard processes and the project plan is generated, executed, monitored and controlled accordingly. However, process tailoring is usually carried out by following an ad-hoc approach, and the amount of researches done on this topic to date can be considered small. In this...
Orthogonal defect classification (ODC) is a kind of defect analysis method invented by IBM. ODC classifies software defects by eight orthogonal attributes. By analyzing these attributes' distribution and increasing trend the software process information could be obtained. It has been used widely in many companies and organizations. In this paper, we focus on the ODC records collected in a company,...
Collaborative Filtering is a very important technology in E-commerce. Unfortunately, with the increase of users and commodities, the user rating data is extremely sparse, which leads to the low efficient Collaborative Filtering recommendation system. To address these issues, many methods of processing no-rated items in Collaborative Filtering recommendation algorithm have been proposed, including...
Chinese named entity recognition is one of the most important tasks in NLP. The paper mainly describes our work on NER tasks. The paper built up a system under the framework of conditional random fields (CRFs) model. With an improved tag set the system gets an F-value of 93.49 using SIGHAN2007 MSRA corpus.
In this paper, an integrated system of segmenting unconstrained handwritten numeral strings with unknown number of digits is proposed. The algorithm consists of the extraction of connected components based on vertical projection and isolated components analysis, the length estimation of connected components using syntax analysis and waveform analysis and the segmentation of unconstrained connected...
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