By Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He
This booklet constitutes the refereed lawsuits of the second one overseas convention on facts technology, ICDS 2015, held in Sydney, Australia, in August 8-9, 2015.
The 19 revised complete papers and five brief papers offered have been rigorously reviewed and chosen from 31 submissions. The papers specialise in the next subject matters: mathematical matters in info technology; gigantic info concerns and purposes; facts caliber and knowledge training; data-driven medical examine; review and dimension in information provider; colossal facts mining and data administration; case learn of knowledge technology; social affects of knowledge science.
Read or Download Data Science: Second International Conference, ICDS 2015 Sydney, Australia, August 8–9, 2015. Proceedings PDF
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Additional resources for Data Science: Second International Conference, ICDS 2015 Sydney, Australia, August 8–9, 2015. Proceedings
Daily. Detecting high utility items in usage-time ﬁgure can help ﬁnd out more accurate pattern (yellow, red, green) in rental behavior prediction. To implement high eﬃcient sequential pattern mining by ﬂeet tracking in rental industry, we provide a novel framework to conduct rental pattern mining with proposed modeling algorithms. We propose two sequential rental pattern mining algorithms to identify frequent itemsets by utilizing ﬂeet tracking information as location and usage. Further, our approach is demonstrated by real-world datasets in an rental industry case study.
Friend recommendation is an important emerging social network service component, which expands the networks by actively recommending new potential friends to users. We introduce a new friend recommendation system using a user’s information of total attributes and based on the Law of total probability. The proposed method can be easily extended according to the number of user’s attributes in different social networks. Our experimental results have demonstrated that superior performance the proposed method.
Zhang et al. ): ICDS 2015, LNCS 9208, pp. 30–33, 2015. 1007/978-3-319-24474-7_5 LDA Based Event Extraction 31 The remainder of this paper is organized as follows. We present a review of literature on flu prediction, LDA, and text mining on microblog. Next, we report on our experiments and discuss the results. Finally, we conclude this paper. 2 Related Work We discuss works closely related to our research from two aspect: (1) influenza epidemic detection, (2) text mining on microblog. Magruder used the amount of over-the-counter drug sales.
Data Science: Second International Conference, ICDS 2015 Sydney, Australia, August 8–9, 2015. Proceedings by Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He