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  Franklin, Michael J. Add to Alert Profile  
 
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  1 - 5 of 6 reviews    
  Crowdsourced data management: a survey
Li G., Wang J., Zheng Y., Franklin M.  IEEE Transactions on Knowledge and Data Engineering 28(9): 2296-2319, 2016. Type: Article

Many data management and analytics tasks, notably entity resolution, sentiment analysis, and image recognition, cannot always be fulfilled through automated software processes alone, but also require the application of human cognition. Human compu...
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Apr 18 2017  
  Answering enumeration queries with the crowd
Trushkowsky B., Kraska T., Franklin M., Sarkar P.  Communications of the ACM 59(1): 118-127, 2016. Type: Article

Human crowds are valuable assets for providing additional responses in real time to cognate query results derived solely from relational database management systems (RDBMSs). But how should query results from human crowds, designed to simultaneous...
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May 3 2016  
   TinyDB: an acquisitional query processing system for sensor networks
Madden S., Franklin M., Hellerstein J., Hong W.  ACM Transactions on Database Systems 30(1): 122-173, 2005. Type: Article

The acquisitional query processing system for sensor networks described in this paper is a new development in the field of acquisitional query languages. Running on the Berkeley “mote” platform, on top of an operating system called Tin...
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Oct 28 2005  
  Garbage collection for a client-server persistent object store
Amsaleg L., Franklin M., Gruber O.  ACM Transactions on Computer Systems 17(3): 153-201, 1999. Type: Article

A garbage collection algorithm is described for persistent object stores in a client/server environment. The algorithm is based on a partitioned mark-and-sweep approach, and it is tailored to cope with the problems introduced by persistence. The c...
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Jan 1 2000  
  Adaptive, fine-grained sharing in a client-server OODBMS: a callback-based approach
Zaharioudakis M., Carey M., Franklin M.  ACM Transactions on Database Systems 22(4): 570-627, 1997. Type: Article

The authors expand on their previous work on concurrency control for OODBMSs and cite all the significant related work. The idea is to propose, evaluate, and model adaptive concurrency control approaches. The authors use and study adaptive fine-gr...
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Jun 1 1999  

 
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