Hitachi, Ltd.

Bristol-myers Squibb Compnay

Takashi Tsuno

Kenji Kawasaki

Takeshi Handa

Hidenori Yamamoto

Toshikazu Oki

Yosuke Sawada

Yuko Yamashita

Tomokazu Ueki

Hiroyuki Hirata

Tsuyoshi Minakawa

Satoshi Yamamoto

Osamu Tenmyo

Soichiro Toda

Tomoe Tomiyama

Mary P Rosser

Syuuichirou Sakikawa

Toshifumi Hasegawa

Provided are: a past relation identification unit that combines past sensor data with job data based on information on an item relating to data combination, and identifies a data relation between items based on an item of the past sensor data and an item of the job data; a real-time relation identification unit that identifies a data relation between items of real-time sensor data; a similarity calculation unit that calculates a similarity between the data relation identified by the past relation identification unit and the data relation identified by the real-time relation identification unit; and an output controller that outputs the data relation identified by the past relation identification unit and the data relation identified by the real-time relation identification unit while associating with each other by the item of the past sensor data and the item of the real-time sensor data, the similarity between those data relations exceeding a threshold, the similarity being calculated by the similarity calculation unit.

Data processing device and data processing method

A data analysis support apparatus includes a relationship network generation section that analyzes a relationship between operating systems, a relationship between operation data tables, a relationship between data items possessed by the operation data tables and a relationship between data values possessed by records of the operation data tables and stores them, as a relationship network; a data item classification section that classifies data items that become a data analysis target into a first data type based on an actual value and a second data type based on a planned value; an analysis data table generation section that generates and accumulates an analysis data table to be used for data analysis; a data model generation section that generates, as a data model, a data item group that allows data analysis in combination; and an analysis target item presentation section that recommends a data item to be made an analysis target.

Data analysis support apparatus and data analysis support system

Proposal of data analysis components is enabled to be performed irrespective of the quantity of an implementation history of data analysis, and thus efficiency and cost reduction of production of software for data analysis are promoted. A data utilization platform serveris configured to includes a arithmetic devicewhich executes processing of generating analysis relationship information prescribing linkage between analysis target data and an analysis component executing analysis processing for the analysis target table on the basis of a relationship among a plurality pieces of the analysis target data collected from a plurality of predetermined systems; and processing of specifying a combination of a plurality of the analysis components available for predetermined data designated as an analysis target by a user on the basis of the analysis relationship information.

Analysis software managing system and analysis software managing method

Disclosed is a novel compound, designated BU-4514N, which is produced by cultivation of a novel strain of Microtetraspora, designated species T689-92. The novel compound possesses antibacterial and neuritogenic properties.

Compound produced by a strain of microtetraspora having antibacterial

The present invention relates to a novel .alpha.-glucosidase inhibitor, pradimicin Q, having the following formula ##STR1## and its pharmaceutically acceptable base salts.

Process for the preparation of .alpha.-glucosidase inhibitor, pradimicin

Novel alpha-glucosidase inhibitor, pradimicin Q

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Tokyo, Japan

Takashi Tsuno