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Guest Editorial: Special issue on Discovery Science

Takuya Kida, Tetsuji Kuboyama, Takeaki Uno, Akihiro Yamamoto
2020 Machine Learning  
itemsets from transactional data streams.  ...  Discovery Science occurs between developing methods and research in various scientific domains.  ... 
doi:10.1007/s10994-020-05883-7 fatcat:z4qvrksjbbg5hcuy5btzonzema

Life Beyond PTF [article]

Eric C. Bellm
2018 arXiv   pre-print
I describe the design and scientific rationale for ZTF.  ...  ZTF is prototyping new alert stream technologies being explored by the Large Synoptic Survey Telescope (LSST) to distribute millions of transient alerts per night to downstream science users.  ...  Patterson, whose insights about the subtleties of streaming data I have relied heavily on in §3.  ... 
arXiv:1802.10218v1 fatcat:gznpfh5vgvhsdo33xq6hubqotu

Data warehousing and knowledge discovery from sensors and streams

Alfredo Cuzzocrea
2011 Knowledge and Information Systems  
aspects of data warehousing and knowledge discovery from sensor network data and data streams, from foundations to theory, and from methodologies to applications.  ...  Main research issues in this scientific field arise from the clear and well-recognized unsuitability of traditional data warehousing and knowledge discovery methodologies, techniques and algorithms in  ...  attention on the issue of mining utility itemsets from data steams, which has emerged as one of the most interesting research issues in data mining and knowledge discovery over data streams (as well as  ... 
doi:10.1007/s10115-011-0440-2 fatcat:itwywh2bwnckdbr36mcixp5acq

Knowledge discovery from sensor data (SensorKDD)

Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga R. Vatsavai, Nitesh V. Chawla, Joao Gama, Mohamed M. Gaber
2011 SIGKDD Explorations  
With the recent proliferation of smart-phones, and similar GPS enabled mobile devices, collection of sensor data is no longer limited to scientific communities, but has reached general public.  ...  With massive volumes of such disparate, dynamic, and geographically distributed data available, many high-priority applications have been identified that involve analysis of such data to solve real world  ...  The SensorKDD'10 workshop was sponsored by the Geographic Information Science and Technology (GIST) Group at Oak Ridge National Laboratory within the Computational Sciences and Engineering Division at  ... 
doi:10.1145/1964897.1964911 fatcat:rsh6cat5pfg6rnmklbaf66mu2q

Ready for STEM?

Marcia A. Mardis
2014 Library resources & technical services  
To determine whether Discovery Education Streaming, a leading commercial database is a viable source of school library STEM resources, the researcher analyzed its multimedia assets by media, grade, category  ...  While the results raise concerns about Discovery Education Streaming as an enhancement to library collections, careful use of these sources may allow school librarians opportunities to integrate high quality  ...  Data Collection To mimic the typical Discovery Education Streaming user experience, the researcher used the subscriber interface to collect data on July 7 (Health), July 8 (Mathematics and Engineering)  ... 
doi:10.5860/lrts.58n4.250 fatcat:nc7kzquz7vd6lkhwaqf6wmfosu

Special issue for data intensive eScience

Judy Qiu, Dennis Gannon
2012 Distributed and parallel databases  
Data-intensive science is enabled by the data deluge and has been called the "fourth paradigm" of scientific discovery.  ...  Most of this "Internet of Things" will be small sensors that produce streams of information which will be processed and integrated with other streams and turned into knowledge.  ...  Acknowledgements We would like to thank the authors for contributing papers on their research on latest trends in data intensive technologies and applications for this special issue, and thank all the  ... 
doi:10.1007/s10619-012-7107-1 fatcat:s3yzixkgprfm5cbijcxzyziuem

Frontiers in Genomic Assay Technologies: The Grand Challenges in Enabling Data-Intensive Biological Research

David William Galbraith
2011 Frontiers in Genetics  
This situation, which extends across all fields of experimental science, has been canonized as the emergence of a "Fourth Paradigm" in scientific research, termed Data-Intensive Scientific Discovery, the  ...  In contrast, within the targeted research programs of the private sector, such as those aimed at the discovery of new drugs, false discovery is particularly problematic, since the downstream testing, modification  ... 
doi:10.3389/fgene.2011.00026 pmid:22303322 pmcid:PMC3268581 fatcat:ezezq3lkbzddreiisz4mxq7xoe

Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges [chapter]

Tho Manh Nguyen, A Min Tjoa, Juan Trujillo
2005 Lecture Notes in Computer Science  
More attention is also devoted to scientific data exploration dealing with such research objects as mining and discovery on biological data, spatial, text and multimedia data.  ...  A plethora of algorithms and techniques were proposed to mine high-speed data streams, to analyse click streams, and to correlate synchronised and asynchronised online streams [20, 21] .  ... 
doi:10.1007/11546849_52 fatcat:sdcervokrzasvanqlcnbp4jsp4

The Catalina Real-Time Transient Survey (CRTS) [article]

S.G. Djorgovski, A.J. Drake, A.A. Mahabal, M.J. Graham, C. Donalek, R. Williams, E.C. Beshore, S.M. Larson, J. Prieto, M. Catelan, E. Christensen, R.H. McNaught
2011 arXiv   pre-print
Catalina Real-Time Transient Survey (CRTS) is a synoptic sky survey uses data streams from 3 wide-field telescopes in Arizona and Australia, covering the total area of ~30,000 deg2, down to the limiting  ...  CRTS is a scientific and technological testbed and precursor for the grander synoptic sky surveys to come.  ...  A Sampling of the Scientific Results CRTS is now producing a steady stream of discoveries, including Supernovae, CVs of all types, blazars and other highly variable AGN, flare stars (e.g., UV Ceti type  ... 
arXiv:1102.5004v1 fatcat:j7lpt6sjtbaebh76nwmdlpgokm

Semantic Support For Hypothesis-Based Research From Smart Environment Monitoring And Analysis Technologies

T. S. Myers, J. Trevathan
2013 Zenodo  
The data collected via SEMAT and the inferred knowledge from the Semantic Reef system are ingested to the Tropical Data Hub for data discovery, reuse, curation and publication.  ...  Currently, there are developments in the Semantic Sensor Web community to explore efficient methods for reuse, correlation and integration of web-based data sets and live data streams.  ...  ACKNOWLEDGMENT This work is funded in part by the Australian National Data Service, Queensland Cyber Infrastructure Foundation, the University of Melbourne and the Queensland Government National and International  ... 
doi:10.5281/zenodo.1087936 fatcat:a62fuyxhcbbanba3naocvapbji

Data Always Getting Bigger—A Scalable DOI Architecture for Big and Expanding Scientific Data

Giri Prakash, Biva Shrestha, Katarina Younkin, Rolanda Jundt, Mark Martin, Jannean Elliott
2016 Data  
In addition, the ARM data infrastructure team, with input from scientific users, developed a citation format and an online data citation generation tool for continuous data streams.  ...  Additionally, it allows future data users and the ARM Climate Research Facility to easily locate the exact data used in various articles.  ...  Using this policy, ARM can further improve the discovery and access of ARM data through publications and citations.  ... 
doi:10.3390/data1020011 fatcat:q5tklp5ojvf6ned2o7g7q6emkq

Knowledge discovery from sensor data (SensorKDD)

Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber
2010 SIGKDD Explorations  
Keeping in view the requirements of the emerging field of knowledge discovery from sensor data, we took initiative to develop a community of researchers with common interests and scientific goals, which  ...  On one hand, dynamic data streams or events require real-time analysis methodologies and systems, while on the other hand centralized processing through high end computing is also required for generating  ...  area and an important specialty (sub-area) within the knowledge discovery.  ... 
doi:10.1145/1809400.1809417 fatcat:jrtrixjfzzgo3bdlelcyldihom

Knowledge discovery from sensor data (SensorKDD)

Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
2008 SIGKDD Explorations  
Keeping in view the requirements of the emerging field of knowledge discovery from sensor data, we took initiative to develop a community of researchers with common interests and scientific goals, which  ...  On one hand, dynamic data streams or events require real-time analysis methodologies and systems, while on the other hand centralized processing through high end computing is also required for generating  ...  area and an important specialty (sub-area) within the knowledge discovery.  ... 
doi:10.1145/1540276.1540297 fatcat:72jirtrxibbrpmpfcwrivmedjm

Page 452 of The Kansas City Review Vol. 3, Issue 8 [page]

1879 The Kansas City Review  
The advantages to follow a systematic series of scientific obser- vations within the polar area, are too evident to require extended argument here.  ...  It is for this rea- son that the writer has advocated for several years past, the official establishment of a scientific station within the polar area as far north as it is practicable for a steamer to  ... 


Subana Shanmuganathan
2014 Journal of Computer Science  
The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams  ...  Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big  ...  Clustering techniques: They are useful in identifying groups of similar records within the raw data.  ... 
doi:10.3844/jcssp.2014.2658.2665 fatcat:whtc2on6vncq5hayilctdfpvgu
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