The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Mining and visualizing recommendation spaces for elliptic PDEs with continuous attributes
ACM Transactions on Mathematical Software (TOMS) - Special issue in honor of John Rice's 65th birthday
Data Mining with optimized two-dimensional association rules
ACM Transactions on Database Systems (TODS)
WCDMA for UMTS: Radio Access for Third Generation Mobile Communications
WCDMA for UMTS: Radio Access for Third Generation Mobile Communications
Sampling Strategies for Mining in Data-Scarce Domains
Computing in Science and Engineering
S4W: Globally Optimized Design of Wireless Communications Systems
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
IEEE Transactions on Wireless Communications
Globally optimal transmitter placement for indoor wireless communication systems
IEEE Transactions on Wireless Communications
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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This paper presents a statistical framework for assessing wireless systems performance using hierarchical data mining techniques. We consider WCDMA (wideband code division multiple access) systems with two-branch STTD (space time transmit diversity) and 1/2 rate convolutional coding (forward error correction codes). Monte Carlo simulation estimates the bit error probability (BEP) of the system across a wide range of signal-to-noise ratios (SNRs). A performance database of simulation runs is collected over a targeted space of system configurations. This database is then mined to obtain regions of the configuration space that exhibit acceptable average performance. The shape of the mined regions illustrates the joint influence of configuration parameters on system performance. The role of data mining in this application is to provide explainable and statistically valid design conclusions. The research issue is to define statistically meaningful aggregation of data in a manner that permits efficient and effective data mining algorithms. We achieve a good compromise between these goals and help establish the applicability of data mining for characterizing wireless systems performance.