ASTERIX: an open source system for "Big Data" management and analysis (demo).
Proceedings of the VLDB Endowment, 5(12):1898-1901, 2012.
Sattam Alsubaiee, Yasser Altowim, Hotham Altwaijry, Alexander Behm, Vinayak Borkar, Yingyi Bu, Michael Carey, Raman Grover, Zachary Heilbron, Young-Seok Kim, Chen Li, Nicola Onose, Pouria Pirzadeh, Rares Vernica und Jian Wen.
[doi]
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At UC Irvine, we are building a next generation parallel database system, called ASTERIX, as our approach to addressing today's "Big Data" management challenges. ASTERIX aims to combine time-tested principles from parallel database systems with those of the Web-scale computing community, such as fault tolerance for long running jobs. In this demo, we present a whirlwind tour of ASTERIX, highlighting a few of its key features. We will demonstrate examples of our data definition language to model semi-structured data, and examples of interesting queries using our declarative query language. In particular, we will show the capabilities of ASTERIX for answering geo-spatial queries and fuzzy queries, as well as ASTERIX' data feed construct for continuously ingesting data.
Claper: Recommend classical papers to beginners.
In:
Proceedings of the seventh International Conference on Fuzzy Systems and Knowledge Discovery, Band 6, Seiten 2777-2781.
IEEE, 2010.
Yonggang Wang, Ennan Zhai, Jianbin Hu und Zhong Chen.
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Classical papers are of great help for beginners to get familiar with a new research area. However, digging them out is a difficult problem. This paper proposes Claper, a novel academic recommendation system based on two proven principles: the Principle of Download Persistence and the Principle of Citation Approaching (we prove them based on real-world datasets). The principle of download persistence indicates that classical papers have few decreasing download frequencies since they were published. The principle of citation approaching indicates that a paper which cites a classical paper is likely to cite citations of that classical paper. Our experimental results based on large-scale real-world datasets illustrate Claper can effectively recommend classical papers of high quality to beginners and thus help them enter their research areas.
Link fusion: A unified link analysis framework for multi-type interrelated data objects.
In:
Proc. 13th Internation World Wide Web Conference.
New York, 2004.
W. Xi, B. Zhang, Y. Lu, Z. Chen, S. Yan, H. Zeng, W. Ma und E. Fox.
[BibTeX]