The inference method of the computer, for inferring known causes of observed time-series events, is Cost-based Cooperation of Multi-Abducers (CCMA) here aiming ...

Mar 1, 2000 · This paper presents a method to have a computer express “unknown” hidden causes, ie not included in the given knowledge.

Abstract. It is hard to have knowledge including all events which may have caused observed events. This makes it difficult to infer significant causes.

Our method is to have the computer infer known causes of time-series of observed events, for detecting unexpectedly strong co-occurrences among known events.

Discover unknown causes from inferred and visualized co-occurring events. Y Ohsawa, M Yachida. NEW GENERATION COMPUTING, 18(1) 75-86, 2000 Peer-reviewed.

Discover Unknown Causes from Inferred and Visualized Co-Occurring Events.New Gener. Comput. 18(1): 75-86 (2000). paper. [c73]. A. Kazumasa Yamazawa, Yasushi ...

Yukio Ohsawa, Masahiko Yachida: Discover Unknown Causes from Inferred and Visualized Co-Occurring Events. 75-86 BibTeX. Volume 18, Number 2, January 2000.

Discovery of Unknown Causes from Unexpected Co-occurrence of Inferred Known Causes ... Discover unknown causes from inferred and visualized Co-occurring events.

We present a computational algorithm that counts the occurrences of a collection of patterns from multiple event streams with just one pass through the data.

... Discover Unknown Causes from Inferred and Visualized Co-Occurring Events.Y. Ohsawa, and M. Yachida. New Generation Comput., 18 (1): 75-86 (2000 )Eyes Draw ...