Amoeba-Based Knowledge Discovery System
We propose an amoeba-based knowledge discovery or data mining system, that is implemented using an amoeboid organism and an associated control system. The amoeba system can be considered as one of the new non-traditional computing paradigms, and it can perform intriguing, massively parallel computing that utilizes the chaotic behavior of the amoeba. Our system is a hybrid of a traditional Anowledge-based unit implemented on an ordinary computer and an amoeba-based search unit, with an interface of an optical control unit. The solutions in our system can have one-to-one mapping to solutions of other well known areas such as neural networks and genetic algorithms. This mapping feature allows the amoeba to use and apply techniques developed in other areas. Various forms of knowledge discovery processes are introduced. Also, a new type of knowledge discovery technique, called autonomous meta-problem solving, is discussed.
Amoeba-based computing knowledge discovery data mining new computing paradigm
Toshinori Munakata Masashi Aono Masahiko Hara
Computer and Information Science Department,Cleveland State niversity,Cleveland, OH, 44115, USA RIKEN-HYU Collaboration Research Center,Advanced Science Institute, RIKEN,Wako, Saitama 351-0198, Ja
国际会议
黄山
英文
128-131
2010-05-28（万方平台首次上网日期，不代表论文的发表时间）