Revealing the Retail Black Box by Interaction Sensing
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
Temporal management of RFID data
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Towards correcting input data errors probabilistically using integrity constraints
MobiDE '06 Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access
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VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A deferred cleansing method for RFID data analytics
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
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WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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The VLDB Journal — The International Journal on Very Large Data Bases
Monte Carlo methods in the physical sciences
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Cascadia: A System for Specifying, Detecting, and Managing RFID Events
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Tagmark: reliable estimations of RFID tags for business processes
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Reducing false reads in RFID-embedded supply chains
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Identifying RFID-embedded objects in pervasive healthcare applications
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Probabilistic Event Extraction from RFID Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A Sampling-Based Approach to Information Recovery
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Probabilistic Inference over RFID Streams in Mobile Environments
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
SAP MaxDB Administration
Collaborative sensing in a retail store using synchronous distributed jam signalling
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Leveraging communication information among readers for RFID data cleaning
WAIM'11 Proceedings of the 12th international conference on Web-age information management
A model-based approach for RFID data stream cleansing
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In retail, products are organized according to layout plans, so-called planograms. Compliance to planograms is important, since good product placement can significantly increase sales. Currently, retailers are about to implement RFID installations consisting of smart shelves and RFID-tagged items to support in-store logistics and processes. In principle, they can also use these installations to implement planogram compliance verification: Each antenna is supposed to detect all tagged items in one location of the planogram. But due to physical constraints, RFID tags can be identified by more than one RFID antenna. Thus, one cannot decide if an item carrying such a tag complies with the planogram. We propose a new method called RPCV which checks planogram compliance on large databases of items. It is based on the observation that the number of times an antenna identifies each item of a certain product type roughly follows a normal distribution. RPCV represents each item as a two-dimensional vector containing the number of readings both by the right antenna and by wrong ones according to the planogram. It clusters this data, separately for each product type. A cluster then is a set of correctly placed items or of misplaced ones. RPCV produces one order of magnitude less wrong predictions than current state of the art, and it requires less data to yield good predictions. A study with RFID-equipped goods and smart shelves shows that our approach is effective in realistic scenarios.