Selection of patents for the Chemical Abstracts Service data base

1983 ◽  
Vol 23 (4) ◽  
pp. 160-165 ◽  
Author(s):  
P. J. Pollick
Keyword(s):  
Data Base ◽  
Chemical Abstracts Service ◽  
Service Data ◽  
Selection Of

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

Marketing Literature Review

1987 ◽  
Vol 51 (2) ◽  
pp. 121-133
Author(s):  
Paul S. Speck
Keyword(s):  
Literature Review ◽  
Data Base ◽  
Line Search ◽  
Marketing Literature ◽  
On Line ◽  
Business Data ◽  
Selection Of

This section is based on a selection of article abstracts from a comprehensive business literature data base. Marketing-related abstracts from over 125 journals (both academic and trade) are reviewed by JM staff. Descriptors for each entry are assigned by JM staff. Each issue of this section represents three months of entries into the data base. JM wishes to thank Data Courier Inc for use of the ABI/INFORM business data base. Each entry has an identifying number. Cross-references appear immediately under each subject heading. Requests for specific articles should be directed to the specific publication named or to Data Courier Inc. (800/626–2823). Abstracts of the articles are contained in the ABI/INFORM data base which is available through many on-line search vendors.

Decontamination Method Data Base

2001 ◽  
Author(s):  
E. P. Emets ◽  
G. Yu. Kolomeytsev ◽  
P. P. Polouektov ◽  
V. V. Shirokov ◽  
A. N. Yakovets
Keyword(s):  
Specific Surface ◽  
Data Base ◽  
Relational Model ◽  
Selection Algorithm ◽  
Literature Source ◽  
Computer Based ◽  
Record Selection ◽  
Decision Making Tool ◽  
Major Data ◽  
Selection Of

Abstract The Decontamination Method Data-Base (DMDb) is a versatile decision support information system. It is a computer based decision making tool which assists in the selection of best choice of metal surface decontamination technologies, procedures and agents. It is meant for educated and skilled experts in radiochemistry and for specialists in physics, chemistry, physical chemistry and other fields. The database has been developed to meet typical demands of users specialising in the decontamination of radiolagically contaminated materials and considers: • detergent compositions for a specific contaminant; • detergent compositions for a specific surface being decontaminated; • detergent compositions for cleaning a specific surface of a specific contaminant; • decontamination parameters in view of the composition of a detergent; • corrosion effects in different conditions; • etc. In this connection, the major data entity of the database is a unit record describing a decontamination technology for a specific contaminated surface. The unit record contains information on the surface material, contamination, decontamination effectiveness, corrosion impacts and a literature source. The data presentation makes possible the realization of a record selection algorithm for a “lay” user to support the decontamination decision approaching the best one. The analysis of the unit record subject and structure served as the basis for developing relational model “Tables – Relationships” and a tentative alternative of a user interface. Experimental records were entered to optimize users’ inquiries on the composition and corrosion effects of detergents under various conditions.

Hygrothermal Material Properties Database

2015 ◽  
Vol 365 ◽  
pp. 166-171
Author(s):  
João M.P.Q. Delgado
Keyword(s):  
Data Analysis ◽  
Data Base ◽  
Material Properties ◽  
Raw Data ◽  
Material Data ◽  
Stochastic Data ◽  
Definition Of ◽  
Selection Of

The principles and tools for the development of a stochastic data base that can be useful for researchers and practitioners is an objective of this work. This paper explores the construction of that data base, focusing on material properties. Principles for that construction are proposed, including: selected properties, required raw data and deliverable format. These principles are derived from possible applications of the data base and available tools for data analysis. The selection of statistics tools that can be used in the construction of a material data base is addressed. The definition of the statistic distribution for selected properties was pursued. Available raw data was analysed resulting in conclusions on difficulties and opportunities that arise from that.

Comments on the use of Conversational Features in Studies of the Vocalization Behaviours of Mothers and Infants

1984 ◽  
Vol 7 (2) ◽  
pp. 177-191 ◽  
Author(s):  
Gordon Elias ◽  
Jack Broerse ◽  
Alan Hayes ◽  
Ken Jackson
Keyword(s):  
Data Base ◽  
Statistical Inference ◽  
Odds Ratio ◽  
Unit Of Analysis ◽  
Infant Vocalization ◽  
Alternative Approaches ◽  
Expected Values ◽  
Selection Of

Observations of six mother-infant dyads at infant ages of approximately 13 weeks, 20 weeks, 27 weeks and 35 weeks served as a data base to examine difficulties associated with the use of conversational features (such as the avoidance of coaction) in the analysis of mother-infant vocalization episodes. The difficulties are associated with procedures involving: (i) The pooling of data, (ii) The unit of analysis, and (iii) The selection of appropriate 'expected' values for dyadic parameters used in tests of statistical inference. To illustrate these difficulties, the use of the odds ratio statistic as a means of determining such dependence is examined and alternative approaches are suggested.

scholarly journals Patrimonio biocultural de Tabasco: elaboración de platillos tradicionales en comunidades indígenas

2019 ◽  
pp. 7-15
Author(s):  
Jaime Carrillo-Contreras ◽  
Elsi Margarita May-Arias ◽  
Silvia Gertrudis Mazón-Pérez
Keyword(s):  
Data Base ◽  
Word Processor ◽  
Indigenous Language ◽  
Mountain Area ◽  
Biocultural Heritage ◽  
Selection Of ◽  
The Way

The objective about this research was to identify the traditional dishes in the municipality from Centla and Tacotalpa that belongs to the territory of Tabasco for recognizing the biocultural heritage at indigenous areas. This survey was developed since 2016 to 2018 and the way of study and methodology was cualitative through the open interviews to people who cooks traditional dishes in order to have a selection of chefs were in charge the plates. This selection was performed with persons related to the students of turistic development career in this case families, relatives and acquaintancies. The interviews were recorded in a mobile divice and transcribed to a Word processor in order to add this information in a data base. The final results show that were 69 dishes distributed in the following way: The municipality of centla obtain 40 rescued recipes and the municipality of Tacotalpa obtain 29 recipes and two of them were identifying in indigenous language as Zoque. The interaction between nature resources and the biocultural heritage for the municipality of centla they were mainly with the wildlife as crustaceans, chelonians, reptiles and fishes so for the mountain area Tacotalpa can be found plants, mammals, gasteropods and fishes.

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