@article{1720,
  author = {Yunheng LIU, Y.Z LIU, H. ZHANG2, T. LI},
  title = {An RFID Data Cleaning Strategy Based on Maximum Entropy Feature Selection},
  journal = {Journal of Digital Information Management},
  year = {2015},
  volume = {13},
  number = {2},
  doi = {},
  url = {},
  abstract = {Data cleaning is an essential step of RFID
data streams processing. Since the original RFID data have the characteristics of large scale, high speed, and uncertainty, the efficiency and the accuracy is crucial to
the RFID data cleaning. By analyzing of the characteristics of RFID data streams, this article proposed an RFID data streams cleaning strategy based on maximum entropy
feature selection. By introducing the MEFS to data cleaning, our strategy was able to classify the characteristics of RFID tuples, compute the cleaning costs by analyzing the time consumption and the error, and
choose the best cleaning method. The simulation result showed that our strategy improved both the efficiency and accuracy of uncertainty RFID data streams cleaning.},
}