Titlebook: Databases Theory and Applications; 26th Australasian Da Mohamed A. Sharaf,Muhammad Aamir Cheema,Jianzhong Conference proceedings 2015 Spri

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Belief Revision in Uncertain Data Integrationt there is no guarantee that they are satisfied in practical situations. We present a Bayesian-based approach to revise the probability distribution of the information in the sources in a systematic way to remedy this difficulty. The revision step is similar in spirit to tasks like data cleaning and

他去就結(jié)束

Personal Process Description Graph for Describing and Querying Personal Processesss. In order to describe, share and analyze personal processes more effectively, in this paper, we propose Personal Process Description Graph (PPDG) and a personal process query. The personal process query approach is developed to support different types of graph queries in a personal process graph

咽下

Kaleidoscope

Improvement of Join Algorithms for Low-Selectivity Joins on MapReducequently used in query processing for datasets among several management domains, such as those used with Linked Open Data. We found there is room for improvement of the state-of-the-art approach for the low-selectivity join on MapReduce called the per-split semi-join[.]. In this paper, we first thus

filicide

Predicting Users’ Purchasing Behaviors Using Their Browsing History their choices and their purchasing behaviors are more qualified and valid for capturing users’ needs and preferences than other types of users’ behavior data (e.g., browsing). However, there is not enough users’ purchasing data available for most of small and medium-size E-commerce sites as well as

意外

鐵砧

Cognition and Statistical-Based Crowd Evaluation Framework for ER-in-House Crowdsourcing System: Inblity issues such as duplicate records pose great challenge to organizations to efficiently and effectively perform their business operations such as customer relationship management, marketing, contact centers management etc. Recently, crowdsourcing technique has been used to improve the accuracy of

Spinal-Tap

Jargon

善變

978-3-319-19547-6Springer International Publishing Switzerland 2015