Reference BookDOI
The Human Element of Big Data: Issues, Analytics, and Performance
Geetam Singh Tomar,Narendra S. Chaudhari,Robin Singh Bhadoria,Ganesh Chandra Deka +3 more
- pp 93-118
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TLDR
The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand.Abstract:
The proposed book talks about the participation of human in Big Data. How human as a component of system can help in making the decision process easier and vibrant. It studies the basic build structure for big data and also includes advanced research topics. In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.read more
Citations
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Journal ArticleDOI
An ontology-driven personalized food recommendation in IoT-based healthcare system
V. Subramaniyaswamy,Gunasekaran Manogaran,R. Logesh,V. Vijayakumar,Naveen Chilamkurti,D. Malathi,N. Senthilselvan +6 more
TL;DR: The ProTrip RS is a health-centric RS which is capable of suggesting the food availability through considering climate attributes based on user’s personal choice and nutritive value, and the developed food recommendation approach is evaluated for the real-time IoT-based healthcare support system.
Journal ArticleDOI
A hybrid MapReduce-based k-means clustering using genetic algorithm for distributed datasets
Ankita Sinha,Prasanta K. Jana +1 more
TL;DR: This paper proposes a novel clustering algorithm for distributed datasets, using combination of genetic algorithm (GA) with Mahalanobis distance and k-means clustering algorithms, implemented on Hadoop framework.
Proceedings ArticleDOI
Predictive analytics in data science for business intelligence solutions
TL;DR: This paper provides a conceptual decision making process for data using predictive analysis to maximize the success ratio for handling large dataset.
Proceedings ArticleDOI
Energy-efficient Convolutional Neural Networks via Statistical Error Compensated Near Threshold Computing
Yingyan Lin,Joseph R. Cavallaro +1 more
TL;DR: A variation-tolerant architecture for CNNs capable of robust operations in the NTC regime for energy efficiency is proposed that can enhance variation tolerance by 10× and achieve up to 134× reduction in the standard deviation of inference accuracy Pdet while incurring marginal degradation in the median inference accuracy.
Journal ArticleDOI
Effective modelling for predictive analytics in data science
TL;DR: This paper addresses the nearabsence of empirical or factual predictive analytics in the mainstream research going on in this field by analyzing the issues faced in predictive modelling by the empirical determination of data with its experimental facts for latency pattern.
References
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TL;DR: The dynamic capabilities framework as mentioned in this paper analyzes the sources and methods of wealth creation and capture by private enterprise firms operating in environments of rapid technological change, and suggests that private wealth creation in regimes of rapid technology change depends in large measure on honing intemal technological, organizational, and managerial processes inside the firm.
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Exploration and Exploitation in Organizational Learning
TL;DR: In this paper, the authors consider the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning and examine some complications in allocating resources between the two, particularly those introduced by the distribution of costs and benefits across time and space.
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A Behavioral Model of Rational Choice
TL;DR: In this article, a model for the description of rational choice by organisms of limited computational ability is proposed, and the model is used to describe rational choice in organisms with limited computational abilities.
Journal ArticleDOI
Dynamic capabilities, what are they?
TL;DR: Seeks to present a better understanding of dynamic capabilities and the resource-based view of the firm to help managers build using these dynamic capabilities.