Daiji Tanaka

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Privacy preserving data mining is a promising topic for utilizing various personal information without fear of information leaks. Fuzzy co-clustering is a fundamental technique for summarizing mutual cooccurrence information among objects and items, and has been demonstrated to be useful in such applications as document analysis and collaborative filtering.(More)
Semi-supervised clustering is a promising approach for improving partition quality of unsupervised clustering in large-scale data analysis while it is often difficult to utilize an enough amount of supervised objects. A virtual sample approach is a practical technique for improving classification quality in semi-supervised learning, in which additional(More)
The transmission control protocol (TCP) proves degraded performance at the environment which has bandwidth asymmetry, since the uplink is filled with ACK packets. In order to solve the issue, we propose a TCP option, Pulsed ACK. To apply this option, TCP brings down the number of ACKs and allows the receiver to send ACKs at intervals. We consider the number(More)
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