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Leveraging intersections in management theory and practice (Extended Abstracts)

MARTA UGOLINI
2021 Sinergie Italian Journal of Management  
The role of Big Data in the business challenge of Covid-19: a systematic literature review in managerial studies MICHELA PICCAROZZI, BARBARA AQUILANI " Exploring digital transition strategies for the "  ...  Balancing theory and practice: a review of the state of PLS-SEM research by the community of Italian management scholars FRANCESCA MAGNO, FABIO CASSIA " Co-creation of value in Open Innovation: does coopetition  ...  ., BOUWMAN H. (2008), "An assessment of advanced mobile service acceptance: contributions from TAM and diffusion theory models", Information & Management, vol. 45, n. 6, pp. 359  ... 
doi:10.7433/srecp.ea.2021.01 fatcat:l2upsdqpqvc3zgahty45hquici

Grand challenges: companies and universities working for a better society (Extended Abstracts)

MARTA UGOLINI
2021 Sinergie Italian Journal of Management  
Gli Extended Abstract racconti in questo volume affrontano la tematica con una varietà di argomenti, punti di vista, prospettive.  ...  ., JONKER J. (2018), "Embracing the variety of sustainable business models: A prolific field of research and a future research agenda", Journal of cleaner production, vol. 194, pp. 695-703.  ...  , Journal of International Management, vol. 14, n. 4, pp. 364-376.  ... 
doi:10.7433/srecp.ea.2020.01 fatcat:7tu5ulmovbauzc744x5nxjx2by

Precision Oncology: The Promise of Big Data and the Legacy of Small Data

Enrico Capobianco
2017 Frontiers in ICT  
Role of High-Throughput Genomics Next generation sequencing generates massively parallel amounts of data through the sequences of genomic regions explored in shotgun mode.  ...  From a methodological side, the relationships among profiles or data layers should include cross-interactions, aimed to find possible multilayered latent structures underlying intra-layer dynamics (Kim  ... 
doi:10.3389/fict.2017.00022 fatcat:xjiz7vwkyvf6hfkzf6bxunpauy

Data Transformations and Representations for Computation and Visualization

David J. Kasik, David Ebert, Guy Lebanon, Haesun Park, William M. Pottenger
2009 Information Visualization  
This article characterizes the complex raw data to be analyzed and then describes two different sets of transformations and representations.  ...  The first set transforms the raw data into more concise representations that improve the performance of sophisticated computational methods.  ...  Acknowledgements Our thanks to Professor Richard Fujimoto, Computational Science and Engineering Division, Georgia Institute of Technology for his valuable input on this manuscript.  ... 
doi:10.1057/ivs.2009.27 fatcat:hvlweqkrhzfixpfd5omusgfm5i

CONSTRUCTION METHOD OF "CELL-CUBE" SPATIO-TEMPORAL DATA MODEL FOR BIG DATA

Y. L. Lu, C. W. Liu, J. W. Li, J. W. Jiang
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper constructs a model system of geo-spatiotemporal big data from the aspects of data organization, data storage and data partition, and abstracts the geo-space into an infinite number of geo-cells  ...  At the level of data organization, the spatial and temporal characteristics of structured data and unstructured data are considered as organizational dimensions, and a multi-factor extended cube data model  ...  The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W10, 2020 International Conference on Geomatics in the Big Data Era (ICGBD), 15-17 November  ... 
doi:10.5194/isprs-archives-xlii-3-w10-25-2020 fatcat:l2qprss27rgcpfoftxw3gm6p74

Ubiquitous Data [chapter]

Andreas Hotho, Rasmus Ulslev Pedersen, Michael Wurst
2010 Lecture Notes in Computer Science  
They also emphasize the difficult nature of ubiquitous data from an analysis/knowledge discovery point of view, such as overlapping or contradicting data.  ...  The first example comes from Web 2.0 and includes network mining and social networks. Later, we look at sensor networks and wireless sensor networks in particular.  ...  These data types range from simple atomic types to more complex constructs such as time series, relational data, graphs, images and many others.  ... 
doi:10.1007/978-3-642-16392-0_4 fatcat:2wc2yy55yfa5jnmpwc2ez2dwiu

Accounting, Audit, Analysis: Transformation of Science and Business in New Economic Reality Book of Extended Abstracts

Rasa Subačienė, Daiva Tamulevičienė
2021 Vilnius University Proceedings  
The book includes the abstracts of presentations of fourth international scientific conference "Accounting, Audit, Analysis: Transformation of Science and Business in New Economic Reality" dedicated to  ...  the evaluation of the transformation and perspectives of science and business of accounting, audit and analysis in new economic reality.  ...  Extending the studies of organizational transformation this paper proposes a conceptual underpinning that provide meaning structures to be usefully employed in constructing models for its empirical validation  ... 
doi:10.15388/transformation-of-science-and-business.2021 fatcat:b3m6uoyl2rhjfc5t2tzlhgwcci

Target discovery from data mining approaches

Yongliang Yang, S. James Adelstein, Amin I. Kassis
2009 Drug Discovery Today  
The list of seed genes was then used to construct a disease-specific gene-interaction network mined from the full text articles stored in PubMed Central (PMC), based on the dependency parsing and support  ...  Thus, the number of entities identified from text mining can be greatly underestimated due to the condensed nature of literature abstracts.  ... 
doi:10.1016/j.drudis.2008.12.005 pmid:19135549 fatcat:plsts2psuvclneuhgd5tlianwi

Target discovery from data mining approaches

Yongliang Yang, S. James Adelstein, Amin I. Kassis
2012 Drug Discovery Today  
The list of seed genes was then used to construct a disease-specific gene-interaction network mined from the full text articles stored in PubMed Central (PMC), based on the dependency parsing and support  ...  Thus, the number of entities identified from text mining can be greatly underestimated due to the condensed nature of literature abstracts.  ... 
doi:10.1016/j.drudis.2011.12.006 pmid:22178890 fatcat:c7k3puzntbhcrmzjlw6uvgxhny

Survey of Analytical Methods for Big Data of Quality Inspection

Yingcheng Xu, Wei Jiang, Xiuli Ning, Bisong Liu, Ya Li
2018 IOP Conference Series: Materials Science and Engineering  
depth neural network and visualization analysis from the characteristics of quality inspection data.  ...  Big data of quality inspection is consist of structured data, semi-structured data and unstructured data.  ...  and construct the deep intensive association network.  ... 
doi:10.1088/1757-899x/466/1/012030 fatcat:f2oiyrbzkvdw7ia5wdsfzegxju

Deep learning applications and challenges in big data analytics

Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic
2015 Journal of Big Data  
In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data, semantic  ...  A key benefit of Deep Learning is the analysis and learning of massive amounts of unsupervised data, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized  ...  However, the general idea of indexing based on data representations obtained from Deep Learning can be extended to other forms of data.  ... 
doi:10.1186/s40537-014-0007-7 fatcat:65mi6dnv5rg6poesotupqbsm7y

Exploring complex and big data

Jerzy Stefanowski, Krzysztof Krawiec, Robert Wrembel
2017 International Journal of Applied Mathematics and Computer Science  
We start with defining the essential properties of big data and discussing the main types of data involved.  ...  The links with related areas, including data streams and deep learning, are discussed. The common theme that naturally emerges from this characterization is complexity.  ...  from text, or end-to-end translation.  ... 
doi:10.1515/amcs-2017-0046 fatcat:q6ugvobzi5cmbos4ct52mb3d34

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science [chapter]

G. Amato, L. Candela, D. Castelli, A. Esuli, F. Falchi, C. Gennaro, F. Giannotti, A. Monreale, M. Nanni, P. Pagano, L. Pappalardo, D. Pedreschi (+7 others)
2017 Studies in Big Data  
Multimedia media mining methods for making sense of heterogeneous data, sensed from different on line sources: tweets, mails, blogs, web pages, link structures, videos etc., to the purpose of extracting  ...  Big Data is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not according its semantic  ... 
doi:10.1007/978-3-319-61893-7_17 fatcat:wzk6jc6ounenrexcvmo4aw72ja

Data challenges at Yahoo!

Ricardo Baeza-Yates, Raghu Ramakrishnan
2008 Proceedings of the 11th international conference on Extending database technology Advances in database technology - EDBT '08  
These challenges have led to the development of new data systems and novel data mining techniques.  ...  In this short paper we describe the data that Yahoo! handles, the current trends in Web applications, and the many challenges that this poses for Yahoo! Research.  ...  The highly heterogeneous data types we manage have distinct and interesting types of structure that can be useful for many applications.  ... 
doi:10.1145/1352431.1352509 fatcat:mylu5uo2dzed3aqrzemvbx2cci

Data challenges at Yahoo!

Ricardo Baeza-Yates, Raghu Ramakrishnan
2008 Proceedings of the 11th international conference on Extending database technology Advances in database technology - EDBT '08  
These challenges have led to the development of new data systems and novel data mining techniques.  ...  In this short paper we describe the data that Yahoo! handles, the current trends in Web applications, and the many challenges that this poses for Yahoo! Research.  ...  The highly heterogeneous data types we manage have distinct and interesting types of structure that can be useful for many applications.  ... 
doi:10.1145/1353343.1353421 dblp:conf/edbt/Baeza-YatesR08 fatcat:g56gk535xrgphmlyn6ocirno6u
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