Data Science and Analytics Research Paper Summary InfoSTA Software © 2017 vedveethi.co.in - All Rights Reserved.

Immersive Analytics: Exploring Future Interaction and Visualization Technologies for Data Analytics

B Bach, R Dachselt, S Carpendale, T Dwyer, C Collins… - Proceedings of the 2016 …, 2016

Immersive Analytics: Exploring Future Interaction and Visualization Technologies for Data Analytics... We propose to conduct a workshop on the topic of Immersive Analytics: a new multidisciplinary initiative to explore future interaction technologies for data analytics...

 

Data-Enriched Electronic Healthcare Guidelines For Analytics, Visualization Or Clinical Decision Support

XS Zhou, M Salganicoff - US Patent 20,160,321,402, 2016

... Thus, 2D image processing and image analysis techniques can be applied to the 3D volume image data... Data analytics tools may be invoked at each node to process the patient records for visualization, online learning, decision support, or other applications. ...

 

Cloud Computing Approach for Intelligent Visualization of Multidimensional Data

J Bernatavičienė, G Dzemyda, O Kurasova… - Advances in Stochastic and …, 2016

... doi:10.1145/1656274.1656278CrossRef. 13. Hofmann, M., Klinkenberg, R.: RapidMiner: Data Mining Use Cases and Business Analytics Applications. Chapman and Hall/CRC, Boca Raton (2013). 14. Jolliffe, I.: Principal Component Analysis. Springer, Berlin (1986). ...

 

[PDF] Microarray Integrated Analysis of a Gene Network for the CD36 Myocardial Phenotype

I Sabaouni, B Vannier, A Moussa, A Ibrahimi - Bioinformation, 2016

... and networks of interactions that emerge from knocking CD3 and using different bioinformatics tools such as STRING, GeneMANIA and Cytoscape. We were able list all the CD36-regulated genes, their related function and their specific networks. Data analysis showed that ...

 

Optimal execution of co-analysis for large-scale molecular dynamics simulations

P Malakar, V Vishwanath, C Knight, T Munson… - … , Storage and Analysis, 2016

... 34. V. Vishwanath, M. Hereld, ME Papka, R. Hudson, G. Jordan, and C. Daley, "In Situ Data Analytics and I/O Acceleration ... L. Adhianto, S. Banerjee, M. Fagan, M. Krentel, G. Marin, J. Mellor-Crummey, and NR Tallent, "HPCToolkit: Tools for performance analysis of optimized ...

 

Caliper: performance introspection for HPC software stacks

D Boehme, T Gamblin, D Beckingsale, PT Bremer… - … , Storage and Analysis, 2016

... This requires an interoperable, cross-stack, general-purpose approach to performance data collection, which neither application-specific performance measurement nor traditional profile or trace analysis tools provide. With ...

 

[PDF] Co-evolutionary Algorithm for Analyzing Gene Expression Data

JH Claver, IS Ngongo - 2016

... The bottleneck in dealing cogently with the upcoming data explosion is clearly focused on the development of data analysis tools that i) identify the difference in gene expression profiles and ii) capture or predict the mutual or co-dependence of expression levels of pairs of genes ...

 

[PDF] Bringing useful insights into student thinking to course design, delivery, and evaluation using the beSocratic formative assessment system

MW Klymkowsky, S Bryfcyzynski, MM Cooper - AAAS NSF EnFuse, 2016

... articulated assumptions. In addition to the built in coding tools for text and drawings, beSocratic also has built in automatic analysis tools to cluster the coded data, which enables us to search for patterns in student responses. ...

 

Understanding performance interference in next-generation HPC systems

OH Mondragon, PG Bridges, S Levy, KB Ferreira… - … , Storage and Analysis, 2016

... GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution ... of the International Conference for High Performance Computing, Networking, Storage and Analysis... and encapsulate it in an effort log tool to collect data on development ...

 

Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures

U Ayachit, A Bauer, EPN Duque, G Eisenhauer… - … , Storage and Analysis, 2016

... and S. Klasky, "Goldrush: Resource efficient in situ scientific data analytics using fine ... IEEE International Conference for High Performance Computing, Networking, Storage and Analysis... 48. CD Spradling, "Spec cpu2006 benchmark tools," ACM SIGARCH Computer Architecture ...

 

Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures

U Ayachit, A Bauer, EPN Duque, G Eisenhauer… - Proceedings of the …, 2016

... 1, pp. 17--29, Jan. 2012, lBNL-4370E. 33. J. Dayal, J. Lofstead, G. Eisenhauer, K. Schwan, M. Wolf, H. Abbasi, and S. Klasky, "Soda: Science-driven orchestration of data analytics," in e-Science (e-Science), 2015 IEEE 11th International Conference on. IEEE, 2015, pp. 475--484. ...

 

Winning on HR Analytics: Leveraging Data for Competitive Advantage

R Soundararajan, K Singh - 2016

 

Scalemine: scalable parallel frequent subgraph mining in a single large graph

E Abdelhamid, I Abdelaziz, P Kalnis, Z Khayyat… - Proceedings of the …, 2016

... and SS Chawathe, "SEuS: Structure Extraction Using Summaries," in Discovery Science, 2002, pp. ... tasks Applications," in Proceedings of the International Conference on Data Engineering (ICDE ... Towards Predicting the Runtime of Large Scale Iterative Analytics," Proceedings of ...

 

Understanding performance interference in next-generation HPC systems

OH Mondragon, PG Bridges, S Levy, KB Ferreira… - Proceedings of the …, 2016

... Statistical Science, pages 153--167, 2000. 18. F. Hernandez-Campos, J. Marron, G. Samorodnitsky, and FD Smith. ... Grid-based parallel data streaming implemented for the gyrokinetic toroidal code. ... Scheduling in-situ analytics in next-generation applications. ...

 

Optimal execution of co-analysis for large-scale molecular dynamics simulations

P Malakar, V Vishwanath, C Knight, T Munson… - Proceedings of the …, 2016

... Integrated Steering Framework for Critical Weather Applications," in Proceedings of the International Conference on Computational Science, vol. 4, 2011, pp. 116 -- 125. 34. V. Vishwanath, M. Hereld, ME Papka, R. Hudson, G. Jordan, and C. Daley, "In Situ Data Analytics ...

 

Towards the Integration of Trajectory Information Sources for Semantic Conflicts Detection Purpose: A Trajectory Ontology Based Approach

M Manaa, A Jalel - Handbook of Research on Geographic Information …, 2017

... to understanding entities behaviors and activities from cognitive and analytics perspectives. ... Recent advances in DBMS technology handle ontologies and semantic data in semantic ... representation has been investigated by the geographic information science community called ...

 

Cloud Computing Approach for Intelligent Visualization of Multidimensional Data

J Bernatavičienė, G Dzemyda, O Kurasova… - Advances in Stochastic and …, 2016

... Hofmann, M., Klinkenberg, R.: RapidMiner: Data Mining Use Cases and Business Analytics Applications. ... Lecture Notes in Computer Science, vol ... Smailovič, J., Podpečan, V., Grčar, M., Žnidaršič, M., Lavrač, N.: Active learning for sentiment analysis on data streams: methodology ...

 

[PDF] Management Matters

K Provan, A Osorio - Management, 2016

... Empirical proposals will be evaluated based on the significance and quality of the research question, design, methods, data, and implications ... be abandoned” (Rorty, 2009, p. 6). In their articulation of the present state of post-normal science, Funtowicz and Ravetz underscore the ...

 

Raising your Eminence inside the Enterprise Social Network

S Kremer-Davidson, I Ronen, L Leiba, A Kaplan… - Proceedings of the 19th …, 2016

... ACM. 21. Kevan, L. 2015. The Biggest Social Science Study: What 4.8 Million Tweets Say About the Best Time to Tweet. In buffersocial blog. ... 2011. Charu C. Aggarwal, editor, Social Network Data Analytics, chapter 7, 2011, 177--214. 35. Thom, J., Millen, D., & DiMicco, J. 2012. ...

 

Six Meanings of the History of Science: The Case of Psychology

A Toomela - Centrality of History for Theory Construction in …, 2016

... justification. So I looked into the works of the founders of statistical data analysis , into the works of those who introduced quantitative mathematical methods into science in general and psychology in particular. The founders ...

 

Development of a decision support system using data analytics for customer churn prediction for an online retailer

B Yüceoğlu, Şİ Birbil, I Öztürk - Decision Support Systems, 2016

... good retailer. The proposed system is based on recent data analytics and machine learning tools. The main steps of our development are data cleaning, feature extraction and prediction with supervised learning methods. The ...

 

RiboCAT: A new capillary electrophoresis data analysis tool for nucleic acid probing

WA Cantara, J Hatterschide, W Wu, K Musier-Forsyth - RNA, 2016

... a complementary tool, RiboDOG (RiboCAT Data Output Generator) was designed to facilitate the comparison of multiple datasets, highlighting potential inconsistencies and inaccuracies that may have occurred during analysis. Using these new tools, the secondary structure of ...

 

[PDF] GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis

E Leppäaho, M Ammad-ud-din, S Kaski - arXiv preprint arXiv:1611.01534, 2016

... This kind of sparsity is beneficial for exploratory data analysis and integration. Our GFA package covers essential tools ranging from preprocessing to modelling assumptions and from robustness analysis to interpreting the model. Acknowledgments ...

 

[HTML] Big genomics and clinical data analytics strategies for precision cancer prognosis

GS Ow, VA Kuznetsov - Scientific Reports, 2016

... In the second part of our study, we extended our analysis to the use of classical ... well in specific situations and are sensitive to sample size and the data input. ... We suggest that our collective intelligence computational method could improve the analytics strategy for translation of ...

 

Analytic data focus representations for visualization generation in an information processing system

DS Reiner, D Dietrich - US Patent 9,483,520, 2016

... representations can be used to generate what are referred to herein as “generalized tag cloud visualizations” or GTCVs that provide highly useful analytic tools even for the complex data sources typically associated with “big data” analytics. Thus, improved data analysis can be ...

 

[HTML] The European Classical Swine Fever Virus Database: Blueprint for a Pathogen-Specific Sequence Database with Integrated Sequence Analysis Tools

A Postel, S Schmeiser, B Zimmermann, P Becher - Viruses, 2016

... Platforms for sharing sequence information and providing standardized tools for phylogenetic analyses are ... We present an application example for the analysis of highly similar viral ... The worldwide exchange of genome data from viruses causing severe transboundary diseases ...

 

Business process optimization with big data analytics under consideration of privacy

S Robak, B Franczyk, M Robak - … Science and Information Systems (FedCSIS), 2016 …, 2016

... BIG DATA ANALYTICS LIFECYCLE PROCESS Conducting big data science ventures differs from ap- proaches for projects using SQL data and Business Intelli- gence BI methods and tools applied for data analysis aims [3]. The approach used for big data is more explorative in ...

 

An advanced data analytics framework for energy efficiency in buildings

D Schachinger, S Gaida, W Kastner, F Petrushevski… - Emerging Technologies and …, 2016

... Systems Analysis, Laxenburg, Austria, 2012. [3] D. Delen and H. Demirkan, “Data, information and analytics as ser- vices,” Decision Support Systems, vol. 55, no. 1, pp. 359–363, 2013. [4] IH Witten, E. Frank, and MA Hall, Data mining: Practical machine learning tools and ...

 

A Review of Meta-Analysis Packages in R

JR Polanin, EA Hennessy, EE Tanner-Smith - Journal of Educational and Behavioral …, 2016

... R Archive Network (CRAN) website (R Core Team, 2015), Revolution Analytics (2016), and ... The package will also address missing data using listwise deletion, handle hierarchically dependent ... Five packages focus on tools for meta-analysis of microarray data: MADAM (Kugler ...

 

Fuzzy logic–based evaluation of visualizations generated by intelligent decision support systems

H Ltifi, S Amri, MB Ayed - Information Visualization, 2016

... methodology for comparing memory and communication of analytic processes in visual analytics... new approach for evaluating flow visualization methods based on eye tracking analysis... Evaluating their usability is challenging because visual data mining tools combine several ...

 

[PDF] THE PERSONALISED'DIGITAL ATHLETE': An evolving vision for the capture, modelling and simulation, of on-field athletic performance

J Alderson, W Johnson - ISBS-Conference Proceedings Archive, 2016

... With continued advances in; passive and active imaging, multi-sensor integration, advanced historical data mining, scalable real-time processing architectures, and non-linear data science analytics techniques (eg deep learning), it is clear that the laboratory versus field nexus ...

 

An industrial analytics approach to predictive maintenance for machinery applications

CP Gatica, M Koester, T Gaukstern, E Berlin, M Meyer - Emerging Technologies and …, 2016

... Companies who offer such services differentiate by their ability to perform offline analytics in an efficient way. AGT, for instance, has built over time an extensive data science and machine learning toolbox that allows assessing sample data in short time frame. ...

 

Business process optimization with big data analytics under consideration of privacy

S Robak, B Franczyk, M Robak - Computer Science and Information Systems ( …, 2016

Abstract: One of the contemporary problems, and at the same time a big opportunity, in  business networks of supply chains are the issues associated with the vast amounts of data  arising there. The data may be utilized by the decision support systems in supply chains; ...

 

[PDF] Practical Digital Curation Skills for Archivists in the 21st Century

M Lee, M Kendig, R Marciano, G Jansen, M Kurtz… - 2016

... & analytics Page 50. How Each Project Is Related to Computational Archival Science (CAS) Themes: Project Computational Linguistics Data Modeling & Evolutionary Prototyping Graph Analytics Crowdsourcing GIS 1. Human Face of Big Data [Community Displacement] X X X ...

 

Big data meets big water: Analytics of the AIS ship tracking data

S Matwin - Computer Science and Information Systems (FedCSIS) …, 2016

Abstract: IN THIS presentation we will argue that Big Data technologies can contribute in an  important way to an unprecedented breakthrough in the understanding of oceans as a factor  in climate change, in transportation, and in supplying humanity with its important food ...

 

Development of a decision support system using data analytics for customer churn prediction for an online retailer

B Yüceoğlu, Şİ Birbil, I Öztürk - Decision Support Systems, 2016

Development of a decision support system using data analytics for customer churn prediction for an online retailer. ... İlker and Öztürk, Işıl (2016) Development of a decision support system using data analytics for customer churn prediction for an online retailer. (Submitted). ...

 

[PDF] Challenges of feature selection for big data analytics

J Li, H Liu - arXiv preprint arXiv:1611.01875, 2016

Page 1. arXiv:1611.01875v1 [cs.LG] 7 Nov 2016 Challenges of Feature Selection for Big Data Analytics  Jundong Li and Huan Liu Computer Science and Engineering Arizona State University, USA {jundongl,huan.liu}@asu.edu ...

 

[PDF] DESIGN OF METAOATA SCHEMA FOR COLLECTING, UTILIZING AND PRESERVING BIOMECHANICAL DATA OF WINTER SPORTS EXPERIMENT

H Kim, Y Ra - ISBS-Conference Proceedings Archive, 2016

... For instance, data collected by KNSU for winter sports analytics are motion capture data of 3-dimensional motion analysis system (60Hz), EMG signal data ... In Korea, research on the integrated management of data collection was raised in the field of science and extended to ...

 

Strategic Analytics and SAS: Using Aggregate Data to Drive Organizational Initiatives

RS Collica - 2016

 

[HTML] Big genomics and clinical data analytics strategies for precision cancer prognosis

GS Ow, VA Kuznetsov - Scientific Reports, 2016

... Article | Open. Big genomics and clinical data analytics strategies for precision cancer prognosis. ... Abstract. The field of personalized and precise medicine in the era of big data analytics is growing rapidly. Previously, we proposed ...

 

[PDF] Learning Analytics: Supporting Teaching and Learning through Learner's Data Analytics and Visualization

A Shiri - DATA ANALYTICS 2016, 2016

... The application makes use of a broad range of technologies, including PHP (Hypertext Preprocessor) and MySQL (Structured Query Language), information visualization technologies, and text and data analysis tools. IV. LEARNING ANALYTICS TOOL FUNCTIONALITIES The ...

 

Deep Network Analyzer (DNA): A Big Data Analytics Platform for Cellular Networks

KAI YANG, R Liu, Y Sun, X Chen - IEEE Internet of Things Journal, 2016

... DNA is motivated by the growing scale and complexity of cellular networks along with the lack of advanced big data analytics tools for effective network management. It abstracts the root cause analysis process into two modules, namely rule (fingerprint) learning and the module ...

 

[PDF] WACIC Method–A Web Analytics Process to Perform Continuous Improvement in Digital Environments

AT Figueiredo, MAF Borges, RLO Moraes - DATA ANALYTICS 2016, 2016

... identified. Onwubiko [7] performed a research focused on the applicability of Web Analytics tools in data gathering and analysis to enhanced cyber situational awareness for monitoring critical online Web services. Many different ...

 

Tools for opportunistic information visualization: Visual analysis with non-traditional data sources

GG Méndez - Visual Languages and Human-Centric Computing (VL/ …, 2016

Abstract: Information Visualization (InfoVis) often supports the analysis of structured data that  is organized in documents with specific formats such as databases, Excel tables, or comma- separated files. Informal analyses that take place without anticipation and away from the ...

 

[HTML] A fuzzy method for RNA-Seq differential expression analysis in presence of multireads

A Consiglio, C Mencar, G Grillo, F Marzano… - BMC Bioinformatics, 2016

... We have tested the method on RNA-Seq data designed for case-control studies and we have compared the obtained results with other existing tools for read count estimation and differential expression analysis. Conclusions. ...

 

Using lipidomics analysis to determine signalling and metabolic changes in cells

A Nguyen, SA Rudge, Q Zhang, MJO Wakelam - Current Opinion in Biotechnology, 2017

... This review focuses on four points: how lipid data can be collected and processed with the support of tools, software and databases; how lipidomic analysis is performed at the molecular level; how to integrate data analysis into a biological context; how the results of such ...

 

[HTML] Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology

SJC Janssen, CH Porter, AD Moore, IN Athanasiadis… - Agricultural Systems, 2016

... and implement the next generation of data, models, and decision support tools for agricultural ... challenge, the interoperability of data sources, modular granular open models, reference data sets for applications and specific user requirements analysis methodologies need to ...

 

A Framework for Big Data Security Analysis and the Semantic Technology

Y Yao, L Zhang, J Yi, Y Peng, W Hu, L Shi - IT Convergence and Security (ICITCS), …, 2016

... other terms are also used, but a number of these refer to the analytics and architectures ... complex; have unknown or low density of value; and have multiple computation and analysis processes ... on the general understanding of the concept of big data, the big data techniques refer ...

 

Organizational and Societal Impacts of Big Data in Crisis Management

H Watson, RL Finn, K Wadhwa - Journal of Contingencies and Crisis Management, 2016

... Findings also reveal that big data is able to contribute to predictive analytics and more ... Here predictive analytics is related to the response stage as well as in future planning efforts. ... This could include 'trend analysis' and 'predicting which populations are vulnerable' to health risks ...

 

Big data processing and analysis platform for condition monitoring of electric power system

Y Guo, S Feng, K Li, W Mo, Y Liu, Y Wang - Control (CONTROL), 2016 UKACC 11th …, 2016

... integrated open-source algorithm packs are converged by many analysis tools developed all over the world, which supplies a plenty of generic computing tools... Robust data analytics, high performance computing, efficient data network management, and cloud computing ...

 

Guest Editorial: Volume, variety and velocity in Data Science

A Alonso-Betanzos, JA Gámez, F Herrera, JM Puerta… - Knowledge-Based Systems, 2016

... converting data into knowledge. Under the framework of Data science, several important data based research paradigms are subsumed: data mining, data analytics, machine learning and big dataData Science covers all the ...

 

Science of the World Wide Web

J Hendler, W Hall - Science, 2016

... The growth of available information is also leading to increasing use of data analytics in many fields, and the intersection of network sciencedata science, and Web science is helping to bring new technologies to scientists and engineers who grapple with large-scale problems ( ...

 

The BHEF National Higher Education and Workforce Initiative A model for pathways to baccalaureate attainment and high-skill careers in emerging fields, Part 3

BK Fitzgerald, S Barkanic, I Cárdenas-Navia, J Chen… - Industry and Higher …, 2016

... Abstract: BHEF has achieved particular success in operationalizing its National Higher Education and Workforce Initiative (HEWI) through regional initiatives in data science and analytics (DSA). Leveraging its membership of ...

 

Storage and Read-Optimized Data Placement Structures for High-Performance Analysis

E Begoli, P Patel, JB Christian - Optimization Challenges in Complex, Networked and …, 2016

... Abstract We present state-of-art structures and methods for efficient data preparation and representation for analysis. Our intent is to introduce the data science and analytics communities to open source data placements, structures, and methods. ...

 

Big Data Analytics: Service and Manufacturing

N Subramanian, MD Abdulrahman, HK Chan, K Ning - … Management in the Big Data …, 2016

... 22 Page 44. Big Data Analytics Eastin, MS, Brinson, NH, Doorey, A., & Wilcox, G.(2016). Living in a big data world: Predicting mobile commerce activity through privacy concerns. ... Economics in the age of big dataScience, 346 (6210), 1243089. doi: 10.1126/science...

 

Data science applications to improve accuracy of thermocouples

H Zhengbing, V Jotsov, S Jun, O Kochan, M Mykyichuk… - Intelligent Systems (IS), …, 2016

... Suggested innovations serve the more effective application of data science, advanced analytics, (deep) data/web mining and/or collective evolutionary components. The latter should be used to combine logical and statistical results in one system, as stated in [30]. ...

 

[PDF] Real-Time Knowledge Map Services on National R&D Data

KR Shon, CJ Chae, HJ Jeong, CS Lim - DATA ANALYTICS 2016, 2016

... National Digital Science Library (NDSL),” URL http://www. ndsl. kr/ [5] R. Kimball and R. Margy,“The data warehouse toolkit: the complete guide to dimensional modeling,” John Wiley & Sons, 2011. 44 Copyright (c) IARIA, 2016. ISBN: 978-1-61208-510-4 DATA ANALYTICS 2016 ...

 

[PDF] Data analytics 2016: proceedings of the fifth international conference on data analytics

S Bhulai, I Semanjski - 2016

... Processing of terabytes to petabytes of data, or incorporating non-structural data and multi-structured data sources and types require advanced analytics and data science mechanisms for both raw and partially-processed information. ...

 

Traffic-aware Geo-distributed Big Data Analytics with Predictable Job Completion Time

P Li, S Guo, T Miyazaki, X Liao, H Jin, A Zomaya… - IEEE Transactions on …, 2016

... With this design, a widely adopted approach for geo-distributed big data analytics is to first aggregate all data to a single • P. Li, S.Guo, and T. Miyazaki are with the School of Computer Science and Engineering, The University of Aizu, Japan. ...

 

Digital product assurance for model-based open manufacturing of small satellites

C Runge, K Lynch, R Ramsey, T Pauline - … and Innovative Business Practices for the …, 2016

... Analytics are displayed on the OMIS console along with system health, workflow status, and alerts of conditions requiring human decision or action. This extensive automated surveillance of ... Data science is employed for post-production analysis of the volumes of collected data...

 

 

Data Science and Analytics Research Paper Summary InfoSTA Software © 2017 vedveethi.co.in - All Rights Reserved.