TY - GEN
T1 - Amoeba-based knowledge discovery system
AU - Munakata, Toshinori
AU - Aono, Masashi
AU - Hara, Masahiko
PY - 2010/9/15
Y1 - 2010/9/15
N2 - 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 knowledge-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.
AB - 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 knowledge-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.
KW - Amoeba-based computing
KW - Data mining
KW - Knowledge discovery
KW - New computing paradigm
UR - http://www.scopus.com/inward/record.url?scp=77956437472&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956437472&partnerID=8YFLogxK
U2 - 10.1109/CSO.2010.88
DO - 10.1109/CSO.2010.88
M3 - Conference contribution
AN - SCOPUS:77956437472
SN - 9780769540306
T3 - 3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice
SP - 128
EP - 131
BT - 3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010
T2 - 3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice
Y2 - 28 May 2010 through 31 May 2010
ER -