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Defining Data Science [article]

Yangyong Zhu, Yun Xiong
2015 arXiv   pre-print
In the present paper, data science is defined as the science of exploring datanature.  ...  Data science is gaining more and more and widespread attention, but no consensus viewpoint on what data science is has emerged.  ...  Data science is here defined as follows: Data science is the theory, method, and technology of studying datanature. It has two main components.  ... 
arXiv:1501.05039v1 fatcat:rnnlcr6xvngjhbbo3mde4zok54

Defining Data Science Professions Family

Yuri Demchenko, Steve Brewer, Wouter Los
2016 Zenodo  
The competences and skills required for different professions are defined in accordance with the Data Science Competence Framework (CF-DS) proposed in the project.  ...  This poster presents the results of the EDISON project that proposes the Data Science Professions (DSP) family definition based on the analysis of research and industry demand and in accordance to existing  ...  Data Science Competence Framework (CF-DS) The Data Science Competences Framework (CF-DS) is a cornerstone of the EDISON Data Science Framework and used for defining such components as Data Science Body  ... 
doi:10.5281/zenodo.546081 fatcat:yxly4vsx5vdynm7ztyuu4rfnxa

Edison Data Science Framework For Defining The Data Science Profession

Yuri Demchenko, Adam Belloum, Wouter Los, Steve Brewer, Andrea Manieri
2016 Zenodo  
The effective use of Data Science technologies requires new competences and skills and demands for new professions that should support all stages of the research data lifecycle from data production and  ...  Science professionals.  ...  and used for defining such components as Data Science Body of Knowledge (DS-BoK) and Data Science Model Curriculum (MC-DS).  ... 
doi:10.5281/zenodo.546080 fatcat:vsjdatqpn5hm7dfmx2wilyntwi

Defining Data Science by a Data-Driven Quantification of the Community

Frank Emmert-Streib, Matthias Dehmer
2018 Machine Learning and Knowledge Extraction  
This statistical model allows us to define the 'importance' of a field as its predictive abilities. Overall, our method provides an objective answer to the question 'What is data science?'.  ...  Furthermore, for decomposing the data science community into its major defining factors corresponding to the most important research fields, we introduce a statistical regression model that is fully automatic  ...  In contrast, in this paper we present a data-driven, quantitative approach. Interestingly, that means we are using methods from data science in order to define data science itself.  ... 
doi:10.3390/make1010015 fatcat:qdwnh6bpkzb5jlh53jjsdl63dy

Definability in Mining Incomplete Data

Jerzy W. Grzymala-Busse, Teresa Mroczek
2016 Procedia Computer Science  
Local definability is essential for data mining since a concept is locally definable if and only if it can be expressed by decision rules.  ...  In this paper we study local and global definability of incomplete data sets from the view point of decision rule induction.  ...  This idea is a basic tool used in determining definability of the relations used to describe incomplete data sets. Incomplete data sets are affected by missing attribute values for different reasons.  ... 
doi:10.1016/j.procs.2016.08.125 fatcat:tjaqyrjvb5bmbhxcbdpxstprq4

Defining and Classifying Infrastructural Contestation: Towards a Synergy Between Anthropology and Data Science [chapter]

Christos Giovanopoulos, Yannis Kallianos, Ioannis N. Athanasiadis, Dimitris Dalakoglou
2020 IFIP Advances in Information and Communication Technology  
With this paper we apply a cross-disciplinary methodology in order to document and define the practices of this new wave of infrastructural contestation, taking Greece in the 2008-2017 period as the case  ...  Moreover, this ongoing synergy between data science and anthropology, although a work in progress, enables us to detect processes towards a more active citizen engagement with infrastructure.  ...  Having defined these six types of infrastructural contestation, according to our data and findings, we need to clarify a few points. First they are not mutually exclusive.  ... 
doi:10.1007/978-3-030-39815-6_4 fatcat:4lut7j7i2jgtxktujwvrz2agyi

Structurally Defined Conditional Data-Flow Static Analysis [chapter]

Elena Sherman, Matthew B. Dwyer
2018 Lecture Notes in Computer Science  
Data flow analysis (DFA) is an important verification technique that computes the effect of data values propagating over program paths.  ...  The authors would like to thank Eric Keefe for working on CSA2 implementation during his REU experience at Boise State University supported by the National Science Foundation under award CNS 1461133.  ...  A formalization of the path-define CSA as a data-flow framework. 2. Two algorithms for implementing CSA in existing analysis frameworks. 3.  ... 
doi:10.1007/978-3-319-89963-3_15 fatcat:nwx42i7u7vbutljfcocdoenhcq

Towards Data-driven Software-defined Infrastructures

Pedro Garcia Lopez, Raul Gracia Tinedo, Alberto Montresor
2016 Procedia Computer Science  
We present in this article the open challenges existing in data-driven software defined infrastructures and a use case based on Software Defined Protection of data. c 2016 The Authors.  ...  We advocate in this paper for a new generation of Software Defined Data Management Infrastructures covering the entire lifecycle of data.  ...  Acknowledgements This work has been partly funded by the EU project H2020 "IOStack: Software-Defined Storage for Big Data" (644182).  ... 
doi:10.1016/j.procs.2016.08.293 fatcat:rzddradh7ngl5j7f3rfdshmx4i

Defining Entrepreneurial Activity: Definitions Supporting Frameworks for Data Collection

Nadim Ahmad, Richard Seymour
2008 Social Science Research Network  
In additional to the data sourced from national statistical offices, data sets will necessarily include survey and other sources of information.  ...  The definitions are proposed to guide the collection and interrogation of data sets.  ... 
doi:10.2139/ssrn.1090372 fatcat:5sztenv54bbidbh4vyuvxxfbea

Finding strong defining hyperplanes of production possibility set with stochastic data

Alireza Salehi, Mohammad Izadikhah
2014 Data Envelopment Analysis and Decision Science  
In this paper, we deal with the problem of finding the strong defining hyperplanes of the PPS with stochastic data. A numerical example shows the reasonability of our method.  ...  In data envelopment analysis (DEA), identification of the strong defining hyperplanes of the empirical production possibility set (PPS) is important, because they can be used for determining rates of change  ...  In this paper strong defining hyperplanes of PPS in the presence of stochastic data are obtained.  ... 
doi:10.5899/2014/dea-00054 fatcat:ft2d4gks3fgjrot6uafx6g5msq

Recent Advances in Σ-Definability over Continuous Data Types [chapter]

Margarita Korovina
2004 Lecture Notes in Computer Science  
The purpose of this paper is to survey our recent research in computability and definability over continuous data types such as the real numbers, real-valued functions and functionals.  ...  We prove Engeler's Lemma for Σ-definability over the reals without the equality test which relates Σ-definability with definability in the constructive infinitary language Lω 1 ω .  ...  In order to introduce the logical approach to computability over continuous data types we consider the following problems. Which data structures are suitable for representing continuous objects? 2.  ... 
doi:10.1007/978-3-540-39866-0_25 fatcat:hgbzjfpqcrcrfj6mqjdqednqna

Software-Defined Networking for Big-Data Science - Architectural Models from Campus to the WAN

I. Monga, E. Pouyoul, C. Guok
2012 2012 SC Companion: High Performance Computing, Networking Storage and Analysis  
University campuses, Supercomputer centers and R&E networks are challenged to architect, build and support IT infrastructure to deal effectively with the data deluge facing most science disciplines.  ...  A virtual switch network abstraction is explored, that when combined with software-defined networking concepts provides the science users a simple, adaptable network framework to meet their upcoming application  ...  By defining a separate part of the network that is designed to support data-intensive science flow, the Science DMZ model provides a framework for building a scalable, extensible network infrastructure  ... 
doi:10.1109/sc.companion.2012.341 dblp:conf/sc/MongaPG12 fatcat:xecfajxhvnczlerfxprsfmdfn4

Defining "Rightness" of the Science Data

doi:10.1299/kikaib.76.761_1 fatcat:clsrtogr6rdetja3mft3ne2emi

Finding strong defining hyperplanes of production possibility set with fuzzy data

Mehdi Amiri, Mohsen Rostami Malkhalifeh
2016 Data Envelopment Analysis and Decision Science  
In this paper, we deal with the problem of finding the strong defining hyperplanes of the PPS with fuzzy data. A numerical example shows the reasonability of our method.  ...  In data envelopment analysis (DEA), identification of the strong defining hyperplanes of the empirical production possibility set (PPS) is important, because they can be used for determining rates of change  ...  of Data Envelopment Analysis and Decision Science 2016 No.1 (2016) 15-22  ... 
doi:10.5899/2016/dea-00123 fatcat:ym5xdpcoijbhhnpy6byzymc7xu

Software-Defined Storage-Based Data Infrastructure Supportive of Hydroclimatology Simulation Containers: A Survey

Wonjun Lee, Sanjiv Kumar
2016 Data Science and Engineering  
When the two technologies are combined to support hydroclimatic simulations, we discuss how the software-defined storage data infrastructure strengthens containers in terms of flexibility of data handling  ...  Hydroclimatic research requires highly intensive resources in terms of computation and data to perform simulations.  ...  Storage management issue for big data that the hydroclimatology researchers are facing can be addressed by adopting the software-defined storage technology.  ... 
doi:10.1007/s41019-016-0008-y fatcat:p3q7bbzjhvetld3lk6ji6mrxmu
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