Unsupervised Clustering for Optimal Locality Detection

2021 ◽  
Vol 5 (2) ◽  
pp. 88-98
Author(s):  
Praneet Amul Akash Cherukuri ◽  
Bala Sai Allagadda ◽  
Anil Kumar Reddy Konda
Keyword(s):  
Decision Making ◽  
Data Science ◽  
Data Cleaning ◽  
Unsupervised Clustering ◽  
Decision Making Process ◽  
World Crisis ◽  
The World ◽  
Proper Perspective

Data science is the most sought over domain in today's world and has been known for its accurate decision-making capabilities, delivering recommendations that have the best profits and much more. The demand for this analysis is the growing technology and population that opens a new dimension of demands leading to the world crisis in every sector. Clustering is the part that helps in making these decisions more accurate and has been evolving through time. Impacts of neighborhoods and localities for businesses are often marked by many factors. To understand the factors and outline them to the proper perspective, through this research the authors performed perspective data cleaning, wrangling, visualization to understand the factors and cluster them for a much prospective decision-making process.

scholarly journals Data Cleaning Techniques for Large Data Sets

2020 ◽  
Vol 8 (6) ◽  
pp. 4453-4456
Keyword(s):  
Decision Making ◽  
Data Science ◽  
Missing Values ◽  
Data Cleaning ◽  
Large Data ◽  
Large Data Sets ◽  
Decision Making Process ◽  
Data Sets ◽  
Multiple Sources ◽  
Data Set

In today’s emerging era of data science where data plays a huge role for accurate decision making process it is very important to work on cleaned and irredundant data. As data is gathered from multiple sources it might contain anomalies, missing values etc. which needs to be removed this process is called data pre-processing. In this paper we perform data preprocessing on news popularity data set where extraction , transform and loading (ETL) is done .The outcome of the process is cleaned and refined news data set which can be used to do further analysis for knowledge discovery on popularity of news . Refined data give accurate predictions and can be better utilized in decision making process

Knowledge management, Data Science and interlaboratory data in the generation of knowledge assets

2021 ◽  
Author(s):  
Ney Kassiano Ramos ◽  
Cristina Keiko Yamaguchi
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Data Science ◽  
Animal Health ◽  
Decision Making Process ◽  
Knowledge Assets ◽  
Science Technology ◽  
Management Discipline

In this book, the authors propose that information from different animal health laboratories (here known as interlaboratory data), can be examined using the Knowledge Management discipline and Data Science technology, generating knowledge assets, information that can be useful in animal diagnosis, scientific studies and in the laboratories’ decision making process.

scholarly journals Use of Linked Data principles for semantic management of scanned documents

2016 ◽  
Vol 28 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Luciane Lena Pessanha Monteiro ◽  
Mark Douglas de Azevedo Jacyntho
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Web Application ◽  
Linked Data ◽  
World Wide ◽  
Decision Making Process ◽  
Whole Process ◽  
The World ◽  
Scanned Documents ◽  
The Web

The study addresses the use of the Semantic Web and Linked Data principles proposed by the World Wide Web Consortium for the development of Web application for semantic management of scanned documents. The main goal is to record scanned documents describing them in a way the machine is able to understand and process them, filtering content and assisting us in searching for such documents when a decision-making process is in course. To this end, machine-understandable metadata, created through the use of reference Linked Data ontologies, are associated to documents, creating a knowledge base. To further enrich the process, (semi)automatic mashup of these metadata with data from the new Web of Linked Data is carried out, considerably increasing the scope of the knowledge base and enabling to extract new data related to the content of stored documents from the Web and combine them, without the user making any effort or perceiving the complexity of the whole process.

scholarly journals Data competence maturity: developing data-driven decision making

2018 ◽  
Vol 11 (2) ◽  
pp. 139-158 ◽  
Author(s):  
Thomas G. Cech ◽  
Trent J. Spaulding ◽  
Joseph A. Cazier
Keyword(s):  
Decision Making ◽  
Secondary Education ◽  
Data Science ◽  
Data Driven ◽  
Decision Making Process ◽  
Maturity Model ◽  
Data Driven Decision Making ◽  
Content Type ◽  
Development Data ◽  
Education Performance

Purpose The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and deliberate use of data in secondary education. Design/methodology/approach Although the model is new, its implications, and its application are derived from key findings and best practices from the software development, data analytics and secondary education performance literature. These principles can guide educators to better manage student and operational outcomes. This work builds and applies the DCMM model to secondary education. Findings The conceptual model reveals significant opportunities to improve data-driven decision making in schools and local education agencies (LEAs). Moving past the first and second stages of the data competency maturity model should allow educators to better incorporate data into the regular decision-making process. Practical implications Moving up the DCMM to better integrate data into their decision-making process has the potential to produce profound improvements for schools and LEAs. Data science is about making better decisions. Understanding the path laid out in the DCMM to helping an organization move to a more mature data-driven decision-making process will help improve both student and operational outcomes. Originality/value This paper brings a new concept, the DCMM, to the educational literature and discusses how these principles can be applied to improve decision making by integrating them into their decision-making process and trying to help the organization mature within this framework.

Simulation of consumers decision-making process using agent-based model approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950037
Author(s):  
Daniel Soto Forero ◽  
Yony F. Ceballos ◽  
German Sànchez Torres
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Real Data ◽  
World Market ◽  
Decision Making Process ◽  
Agent Based ◽  
Dynamic Social Network ◽  
Proposed Model ◽  
The World ◽  
Model Approach

This paper describes a model to simulate the decision-making process of consumers that adopts technology within a dynamic social network. The proposed model use theories and tools from the psychology of consumer behavior, social networks and complex dynamical systems like the Consumat framework and fuzzy logic. The model has been adjusted using real data, tested with the automobile market and it can recreate trends like those described in the world market.

scholarly journals Cancer Surgery in the Elderly

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Gopal C. Kowdley ◽  
Nishant Merchant ◽  
James P. Richardson ◽  
Justin Somerville ◽  
Myriam Gorospe ◽  
...  
Keyword(s):  
Decision Making ◽  
Elderly Patients ◽  
The Elderly ◽  
Cancer Surgery ◽  
Decision Making Process ◽  
Benefit Ratio ◽  
Patients With Cancer ◽  
The World ◽  
Surgery In The Elderly ◽  
Surgical Treatments

The proportions both of elderly patients in the world and of elderly patients with cancer are both increasing. In the evaluation of these patients, physiologic age, and not chronologic age, should be carefully considered in the decision-making process prior to both cancer screening and cancer treatment in an effort to avoid ageism. Many tools exist to help the practitioner determine the physiologic age of the patient, which allows for more appropriate and more individualized risk stratification, both in the pre- and postoperative periods as patients are evaluated for surgical treatments and monitored for surgical complications, respectively. During and after operations in the oncogeriatric populations, physiologic changes occuring that accompany aging include impaired stress response, increased senescence, and decreased immunity, all three of which impact the risk/benefit ratio associated with cancer surgery in the elderly.

scholarly journals A Turing test for free will

2012 ◽  
Vol 370 (1971) ◽  
pp. 3597-3610 ◽  
Author(s):  
Seth Lloyd
Keyword(s):  
Decision Making ◽  
Quantum Mechanics ◽  
Free Will ◽  
Decision Maker ◽  
Turing Test ◽  
Decision Making Process ◽  
Theory Of Computation ◽  
Alan Turing ◽  
The World ◽  
Decision Making Processes

Before Alan Turing made his crucial contributions to the theory of computation, he studied the question of whether quantum mechanics could throw light on the nature of free will. This paper investigates the roles of quantum mechanics and computation in free will. Although quantum mechanics implies that events are intrinsically unpredictable, the ‘pure stochasticity’ of quantum mechanics adds randomness only to decision-making processes, not freedom. By contrast, the theory of computation implies that, even when our decisions arise from a completely deterministic decision-making process, the outcomes of that process can be intrinsically unpredictable, even to—especially to—ourselves. I argue that this intrinsic computational unpredictability of the decision-making process is what gives rise to our impression that we possess free will. Finally, I propose a ‘Turing test’ for free will: a decision-maker who passes this test will tend to believe that he, she, or it possesses free will, whether the world is deterministic or not.

scholarly journals CHALLENGES FACED BY THE WTO’S ECONOMIC SYSTEM IN TRADE IN SERVICES NEGOTIATIONS

2019 ◽  
Vol 4 (8) ◽  
pp. 121-125
Author(s):  
Nino Parsadanishvili
Keyword(s):  
Decision Making ◽  
International Trade ◽  
World Trade Organization ◽  
World Trade ◽  
Developed Countries ◽  
Decision Making Process ◽  
Special Focus ◽  
Trade In Services ◽  
Least Developed Countries ◽  
The World

resent paper focuses on current crises in international trade in services negotiations from the perspective of consideration of trading interests of developing and least developed countries in line with the operational agenda of the World Trade Organization (WTO). Through the analysis of the existing international legal texts and scholarly works particular attention is paid to the different rounds of trade in services negotiations in parallel to the consideration of the results of relevant ministerial conferences of the World Trade Organization, drawing attention to the situation with regards of consideration of the interests of developing and least developed country members of the WTO. Special focus is paid to the complexity of the decision making process and it’s complication over time due to increased participation of parties concerned in the process of trade in services negotiations resulting in no progress in the overall process. Next to analyzing the challenges faced by the WTO in trade in services negotiations, especially in terms of considering the interests of developing and least developed countries, paper shows the ways that could be used during 2020 Kazakhstan Ministerial Conference of the World Trade Organization for finding solutions to simplify the decision making process and establish freer international trade in services by the way of either implying new approaches in interpreting the existing multilateral treaties that deal with trade in services between all member states of the WTO or deepening the discussions on a new plurilateral agreement helping the organization to overcome the stagnated process of trade in services negotiations and therefore ensuring the compliance with it’s own operational goals.

Decision-Making Cognitive Process

2018 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Thais Spiegel ◽  
Ana Carolina P V Silva
Keyword(s):  
Decision Making ◽  
Cognitive Process ◽  
Decision Makers ◽  
Time Constraints ◽  
Decision Making Process ◽  
Cognitive Limitations ◽  
The World ◽  
Human Decision ◽  
Per Se ◽  
Rationality Theory

In the study of decision-making, the classical view of behavioral appropriateness or rationality was challenged by neuro and psychological reasons. The “bounded rationality” theory proposed that cognitive limitations lead decision-makers to construct simplified models for dealing with the world. Doctors' decisions, for example, are made under uncertain conditions, as without knowing precisely whether a diagnosis is correct or whether a treatment will actually cure a patient, and often under time constraints. Using cognitive heuristics are neither good nor bad per se, if applied in situations to which they have been adapted to be helpful. Therefore, this text contextualizes the human decision-making perspective to find descriptions that adhere more closely to the human decision-making process. Then, based on a literature review of cognition during decision-making, particularly in healthcare context, it addresses a model that identifies the roles of attention, categorization, memory, emotion, and their inter-relations, during the decision-making process.

scholarly journals A Methodological Approach for Evaluating Brownfield Redevelopment Projects

Urban Science ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 45 ◽  
Author(s):  
Cappai ◽  
Forgues ◽  
Glaus
Keyword(s):  
Decision Making ◽  
Methodological Approach ◽  
Decision Making Process ◽  
Evaluation Tool ◽  
Specific Context ◽  
Brownfield Redevelopment ◽  
Policy Makers ◽  
Effective Evaluation ◽  
The World ◽  
The City

In recent decades, municipalities around the world have been developing community policies and seeking to apply them in their cities. They use methods for exchanging information and opinions on decisions, policies, plans and strategies and involve and consult with the community and stakeholders in all aspects of the decision-making process. The application of methods for thoughtful planning has become the goal of policy makers to improve the lives of citizens and stop the expansion of the city into the countryside. The aim of this article is to integrate the notion of sustainability into a methodological approach, taking into account the actors involved in the decision-making phases, the objectives, and the local indicators in an urban redevelopment project (brownfield). Our approach is based on an analysis of 21 articles and on a transversal and cross-cutting view of the interdisciplinary themes of sustainable development by inserting the main actors into decision-making in urban projects and by selecting local indicators. We put in place a methodological approach for the evaluation of urban projects that takes into account local expectations. The goal is to identify and classify the elements that are needed for decision making, including the indicators related to environmental and socio-economic components, in order to develop an effective evaluation tool. This research contributes to the knowledge of project evaluation tools in the specific context of a city.

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