DTMiner: A Tool for Decision Making Based on Historical Process Data

2013 ◽  
pp. 81-91 ◽  
Author(s):  
Josue Obregon ◽  
Aekyung Kim ◽  
Jae-Yoon Jung
Keyword(s):  
Decision Making ◽  
Process Data ◽  
Historical Process

scholarly journals A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making

2020 ◽  
Vol 24 (1) ◽  
pp. 68
Author(s):  
Rob Vingerhoeds ◽  
Claude Baron ◽  
Alessandro Bertoni ◽  
Xin Yi ◽  
Phillippe Esteban
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Product Innovation ◽  
Innovation Process ◽  
Data Driven ◽  
Process Data ◽  
Model Based

scholarly journals Evidence for a Cultural Mindset: Combining Process Data, Theory, and Simulation

2020 ◽  
Author(s):  
LaTasha R Holden ◽  
Michelle LaMar ◽  
Malcolm Bauer
Keyword(s):  
Decision Making ◽  
Student Performance ◽  
Cognitive Modeling ◽  
Cross Cultural ◽  
Simulation Game ◽  
Future Research ◽  
Sequential Decision ◽  
Process Data ◽  
Cultural Contexts ◽  
And Behavior

The goal of the present work is to build a foundation for understanding cognition and decision-making processes in innovative assessment contexts. Specifically, we will assess students’ Cross-Cultural Competence (3C: see Thomas et al., 2008) through a social simulation game. The present work will use Mindset (i.e., individuals beliefs about whether ability is fixed or changeable, see Dweck, 2006) to ground the project in theory because it has been shown to be a powerful motivator for decision-making and behavior in learning and achievement (Dweck & Leggett; 1988; Dweck, 1999), and in cross-cultural contexts (Dweck, 2012). The novel contribution of this paper is to apply Mindset theory to social situations requiring 3C, thus proposing the notion of cultural mindsets—defined here as the set of beliefs including affect, cognition, and behavior people bring to cross-cultural contexts. In cultural mindset, affect and cognition govern the ease with which people adapt, learn, and update cultural information. Additionally, we argue that cultural mindsets are important mechanisms involved in navigating cross-cultural situations effectively and should be considered more in future research. In order to understand how cultural mindset affects student performance, we will apply a computational cognitive modeling approach using Markov decision process (MDP) models. The MDP approach is appropriate for sequential decision-making in non-deterministic environments—as actions are chosen as part of a plan to achieve goals with the knowledge that some action effects will be probabilistic.

scholarly journals Perancangan Data Warehouse Untuk Informasi Strategi Studi Kasus Penerimaan Siswa Baru STIE Binaniaga Bogor

2020 ◽  
Vol 6 (1) ◽  
pp. 111-120
Author(s):  
Rahmat Tri Yunandar ◽  
Amir Amir ◽  
Khairul Rizal
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Strategic Decision ◽  
Educational Institutions ◽  
Decision Making Process ◽  
Process Data ◽  
Strategic Information ◽  
Business Context ◽  
Final Goal ◽  
Operational Activities

As an Educational institutions need to have more knowledge, in evaluating, designing and making decisions. Where from such knowledge can be obtained from the data stored in the operational activities of educational institutions databases into the data warehose, so it can be used as a support in the decision making process. Data Warehouse has a major role in the provision of strategic information that can be used to meet the needs of management in a business context. This study examines the development of the data warehouse to the data of new admissions to the STIE Binaniaga Bogor, which can dig up important information that can help retrieval strategic decision to support promotional activities at the STIE Binaniaga Bogor. The final goal of this study was to produce a design of a data warehouse that can support the needs of management in making decisions by providing strategic information on new admissions, which produces a summary of information that is accurate and useful as input to determine strategies for promotion.

Engineering Information Systems to Allow the Integration of Process Monitoring With Asset Management

1997 ◽  
Author(s):  
R. A. Platfoot ◽  
A. Koh ◽  
E. Van Voorthuysen
Keyword(s):  
Decision Making ◽  
Process Monitoring ◽  
Asset Management ◽  
Process Data ◽  
Engineering Information ◽  
Aerosol Cans ◽  
Information Chain ◽  
Wide Readership ◽  
Machine Cell

Abstract A system has been developed whereby process data downloaded from PLC’s is entered into an information chain which incorporates an analysis module which provides tailored reports to a wide readership. The various positions associated with running the factory were analyzed for the types of decisions associated with the job responsibility plus the information necessary to support the decision making. A case study is presented for analyzing aspects of the manufacture of three piece steel aerosol cans. A hardware and software solution was designed, linking a machine cell through the PLC to a operator/process interface.

scholarly journals Analysis and Design of Data Warehouse on Academic STMIK STIKOM Bali

2017 ◽  
Vol 2 (1) ◽  
pp. 35
Author(s):  
Komang Budiarta ◽  
Putu Agung Ananta Wijaya ◽  
Cokorde Gede Indra Partha
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Evaluation Process ◽  
Process Data ◽  
Study Program ◽  
Analysis And Design ◽  
Self Evaluation ◽  
Data Source ◽  
System Information

College accreditation by BAN-PT is one of the parameters in determining the quality of universities in Indonesia. As consideration to achieve the standard from BAN-PT, so they have an evaluation process itself in study program or college to be meet the standard universities when set by the BAN-PT. In carrying out the process of self evaluation, required data source that is used as the basis in assessing on a criteria. In most of the study program, all data spread on the system information and physical document that different, that is require more time and effort to integrate up to interpret. Data warehouse fight important in collecting data that spread and become an information. The process data warehouse with ETL used to integrate, extract, clean, transforming and reload into the data warehouse. With the existence of the data warehouse on Academic STIMIK STIKOM Bali can make it easier for executives to get the information to support the standard accreditation standart three and can be used as a reference in decision making.

Economics and policy analysis: ‘from state to market’?

2018 ◽  
Author(s):  
Daniel Benamouzig ◽  
Frédéric Lebaron
Keyword(s):  
Health Care ◽  
Public Policy ◽  
Decision Making ◽  
Welfare State ◽  
Think Tanks ◽  
Historical Process ◽  
Economic Discourse ◽  
Academic Knowledge ◽  
Historical Viewpoint ◽  
And Diffusion

This chapter describes and analyses the progressive spread of economic "expertise" in the sphere of public policy. It sketches the historical process of the expansion of economic expertise in France, and discusses the way it involves a reshaping of the relations between the State, markets, universities, and other relevant institutional entities (e.g., political parties, unions, etc.), as well as society in general. Considered from this socio-historical viewpoint, economic expertise seems to have contributed to the opening of State-centered regulation to more pluralistic and market-driven public policies in a number of sectors. The analysis draws more specifically on the case of health care, which has been engaged in a clear transformation from a traditional (welfare) State-centered regulation to more open and economically-driven policy. Various components of economic expertise and its concrete uses are under scrutiny, such as classic macroeconomic/econometric forecasting and conjunctural analysis; sectorial expertise; think tanks and organization-related expertise or counter-expertise; academic knowledge in the sphere of policy advice and decision-making; and the production and diffusion of economic discourse through newspapers, magazines, books, etc.

Segmentation Methods for Model Identification from Historical Process Data

2014 ◽  
Vol 47 (3) ◽  
pp. 2836-2841 ◽  
Author(s):  
Yuri A.W. Shardt ◽  
Sirish L. Shah
Keyword(s):  
Model Identification ◽  
Process Data ◽  
Historical Process ◽  
Segmentation Methods

Rehabilitation of water networks: analysis of the decision making processes

2005 ◽  
Vol 5 (2) ◽  
pp. 23-30
Author(s):  
J.P. Torterotot ◽  
M. Rebelo ◽  
C. Werey ◽  
J. Craveiro
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Decision Processes ◽  
Water Networks ◽  
Process Data ◽  
Water Pipes ◽  
Decision Making Processes ◽  
Operational Decision Making ◽  
Networks Analysis ◽  
Institutional Stakeholders

The European Project CARE-W (Computer Aided Rehabilitation of Water Networks), which is supported by the European Commission, has created and tested a prototype of decision support system for the rehabilitation of water pipes. Inside the project, the present operational decision making processes have been analysed in 14 water utilities. The objectives were to identify the involved actors and their interactions, as well as the structure (formal and non formal) of the decision processes: institutional and regulatory contexts, steps of decision making, information fluxes, sharing out of responsibilities and of influence, participation of social and institutional stakeholders. Synthetic results are presented. The cases studied are diversified on several aspects. An “average” situation could be described as showing a moderate level of confrontation, with rather formalised procedures, and very centralised decision making out of the interrelations with road works programming. The highest diversity encountered among the utilities concerns the level of information inside the decision process: data considered, fluxes of information, “sophistication” of criteria taken into account.

scholarly journals Wearables in the SARS-CoV-2 Pandemic: What Are They Good for? (Preprint)

2020 ◽  
Author(s):  
Brinnae Bent ◽  
Jessilyn P Dunn
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Evaluation Process ◽  
Blood Oxygenation ◽  
Public Understanding ◽  
Medical Decision ◽  
Process Data ◽  
Health Related ◽  
Minimum Requirements ◽  
Monitoring Technologies

UNSTRUCTURED Recently, companies such as Apple Inc, Fitbit Inc, and Garmin Ltd have released new wearable blood oxygenation measurement technologies. Although the release of these technologies has great potential for generating health-related information, it is important to acknowledge the repercussions of consumer-targeted biometric monitoring technologies (BioMeTs), which in practice, are often used for medical decision making. BioMeTs are bodily connected digital medicine products that process data captured by mobile sensors that use algorithms to generate measures of behavioral and physiological function. These BioMeTs span both general wellness products and medical devices, and consumer-targeted BioMeTs intended for general wellness purposes are not required to undergo a standardized and transparent evaluation process for ensuring their quality and accuracy. The combination of product functionality, marketing, and the circumstances of the global SARS-CoV-2 pandemic have inevitably led to the use of consumer-targeted BioMeTs for reporting health-related measurements to drive medical decision making. In this viewpoint, we urge consumer-targeted BioMeT manufacturers to go beyond the bare minimum requirements described in US Food and Drug Administration guidance when releasing information on wellness BioMeTs. We also explore new methods and incentive systems that may result in a clearer public understanding of the performance and intended use of consumer-targeted BioMeTs.

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