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String similarity join with different similarity thresholds based on novel indexing techniques 被引量:2
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作者 Chuitian RONG Yasin N. SILVA Chunqing LI 《Frontiers of Computer Science》 SCIE EI CSCD 2017年第2期307-319,共13页
String similarity join is an essential operation of many applications that need to find all similar string pairs from two given collections. A quantitative way to determine whether two strings are similar is to comput... String similarity join is an essential operation of many applications that need to find all similar string pairs from two given collections. A quantitative way to determine whether two strings are similar is to compute their similarity based on a certain similarity function. The string pairs with similarity above a certain threshold are regarded as results. The current approach to solving the similarity join problem is to use a unique threshold value. There are, however, several scenarios that require the support of multiple thresholds, for instance, when the dataset includes strings of various lengths. In this scenario, longer string pairs typically tolerate much more typos than shorter ones. Therefore, we proposed a so- lution for string similarity joins that supports different simi- larity thresholds in a single operator. In order to support dif- ferent thresholds, we devised two novel indexing techniques: partition based indexing and similarity aware indexing. To utilize the new indices and improve the join performance, we proposed new filtering methods and index probing tech- niques. To the best of our knowledge, this is the first work that addresses this problem. Experimental results on real-world datasets show that our solution performs efficiently while pro- viding a more flexible threshold specification. 展开更多
关键词 similarity join similarity aware index similarity thresholds
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The next steps in academic integrity-education,awareness,norms,duty and law 被引量:1
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作者 Yuehong(Helen)Zhang Hanfeng Lin +1 位作者 Xinxin Zhang Qing Ye 《Forensic Sciences Research》 CSCD 2021年第3期341-346,共6页
We conducted and analyzed several internet surveys in order to understand the profile of global research integrity and ethical awareness,encompassing global population distribution.These were(1)the global distribution... We conducted and analyzed several internet surveys in order to understand the profile of global research integrity and ethical awareness,encompassing global population distribution.These were(1)the global distribution of Committee of Publishing Ethics(COPE)membership;(2)the global distribution of“Integrity”or“Ethics”journals;(3)the level of academic integrity awareness in European higher education institutions and(4)awareness of academic integrity in the top universities of Asia and Africa.The results of this survey series highlight seriously imbalanced awareness of research integrity and publishing ethics across the world,especially in developing areas with the highest population density.We therefore propose a new index,the“Academic Integrity Awareness Index”for future discussions across the linked spheres of publishing and research. 展开更多
关键词 Academic integrity awareness index internet survey COPE journal top university
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