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» Mining Frequency Pattern from Mobile Users
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ICTAI
2003
IEEE
14 years 3 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
HCI
2009
13 years 7 months ago
Mobile-Banking Adoption and Usage by Low-Literate, Low-Income Users in the Developing World
Due to the increasing penetration of mobile phones even in poor communities, mobile-phone-enabled banking (m-banking) services are being increasingly targeted at the "unbanked...
Indrani Medhi, Aishwarya Ratan, Kentaro Toyama
PUC
2007
116views more  PUC 2007»
13 years 9 months ago
Periodic properties of user mobility and access-point popularity
Understanding user mobility and its effect on access points (APs) is important in designing location-aware systems and wireless networks. Although various studies of wireless netwo...
Minkyong Kim, David Kotz
SIGCOMM
2012
ACM
12 years 7 days ago
Predicting location using mobile phone calls
Location prediction using mobile phone traces has attracted increasing attention. Owing to the irregular user mobility patterns, it still remains challenging to predict user locat...
Daqiang Zhang, Athanasios V. Vasilakos, Haoyi Xion...
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
14 years 2 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...