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Pattern functional dependencies for data cleaning

Abdulhakim Qahtan, Nan Tang, Mourad Ouzzani, Yang Cao, Michael Stonebraker
2020 Proceedings of the VLDB Endowment  
Inspired by the above observation, we propose a novel class of ICs, called pattern functional dependencies (PFDs), to model fine-grained data dependencies gleaned from partial attribute values.  ...  widely used in data cleaning.  ...  Selecting PFDs The discovery of ICs is a data-driven mining approach with no guarantee that the discovered ICs are genuine.  ... 
doi:10.14778/3377369.3377377 fatcat:rodqlnomvvdjvd3fxcxryt22t4

Glitches as a generative design process

Romain Vuillemot, Samuel Huron
2017 2017 IEEE VIS Arts Program (VISAP)  
Glitches descriptions by their creators allowed us to grasp the interest behind sharing such a failure.  ...  In this paper, we report a preliminary work that aims at understanding glitches in the context of information visualization.  ...  to both of those excellent publicly available collections of glitches.  ... 
doi:10.1109/visap.2017.8282377 fatcat:kvzx6jzcxna63lgtd73q4fjktm

my monstituces composer: Looking for the Pre-Emergent Social Consciousness of AI in Small Data Literary Synthesis

Nathan Allen Jones
2020 Media-N, Journal of the New Media Circus  
I close-read the odd language-salad of the texts written by this "small data synthesis" glitch method in order to discern whether there is a "structure of feeling" (Williams) in them: a pre-emergent sign  ...  of a social being-to-come.  ...  Quantitative approaches to language such Parrish's and OpenAI's may share a pre-emergent social quality in this context.  ... 
doi:10.21900/j.median.v16i1.222 fatcat:k5yqtnskvvax7femcex3llskky

Data Driven Discovery in Astrophysics [article]

G. Longo, M. Brescia, S.G. Djorgovski, S. Cavuoti, C. Donalek
2014 arXiv   pre-print
Making discoveries in this overabundance of data requires applications of novel, machine learning tools. We describe some of the recent examples of such applications.  ...  Astronomy is at the forefront of "big data" science, with exponentially growing data volumes and data rates, and an ever-increasing complexity, now entering the Petascale regime.  ...  GL, MB and SC aknowledge a partial support from the PRIN MIUR "'The obscure universe and the evolution of baryons"' as well as the European COST action TD-1403 "'Big data era in Sky-Earth Observations"  ... 
arXiv:1410.5631v2 fatcat:2ssval6hevezdhclx2hgmamv6y

LIGO Detector Characterization in the Second and Third Observing Runs [article]

D. Davis, J. S. Areeda, B. K. Berger, R. Bruntz, A. Effler, R. C. Essick, R. P. Fisher, P. Godwin, E. Goetz, A. F. Helmling-Cornell, B. Hughey, E. Katsavounidis (+275 others)
2021 arXiv   pre-print
in order to support analyses of LIGO data by the broader community.  ...  In this work, we present the methods used to characterize the LIGO detectors and curate the publicly available datasets, including the LIGO strain data and data quality products.  ...  The authors would like to thank members of the Virgo and KAGRA detector characterization groups who have contributed to an environment of open collaboration that enabled this work.  ... 
arXiv:2101.11673v2 fatcat:mbfs5idgyvfijnxokodv4cybb4

Fast Frequent Item Mining from Big Data using Map Reduce and Bit Vectors

Thirumaran. S, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
algorithm "Dual Mine" outscored the other algorithms by a big magnitude with respect to speed and memory.  ...  One of the most important areas that are constantly being focused recently is the big data and mining frequent patterns from them is an interesting vertical which is perpetually being evolved and gained  ...  in novel ways that are both understandable and useful to the data owner" Big Data Big data is a mind boggling term for immense data sets having enormous, progressively changed and complex structure  ... 
doi:10.17762/turcomat.v12i2.1525 fatcat:ykewxs5rlzdmjdyid2zqttpulm

Timing observations of southern pulsars - 1987 to 1991

F. D'Alessandro, P. M. McCulloch, E. A. King, P. A. Hamilton, D. McConnell
1993 Monthly notices of the Royal Astronomical Society  
Power spectra of the pulsar timing residuals have been derived using a novel technique based on the CLEAN algorithm.  ...  The amplitudes of these microjumps form the tail-end of a continuous distribution of amplitudes extending down to microglitch level.  ...  Acknowledgements Appendix C Plots of Phase Residuals This appendix displays the phase residuals obtained for each pulsar: (a) from a fit for period, period derivative (i.e., using a second order polynomial  ... 
doi:10.1093/mnras/261.4.883 fatcat:h7uutksslzbn7cmynhzafvyo5m

Surveying the reach and maturity of machine learning and artificial intelligence in astronomy

Christopher J. Fluke, Colin Jacobs
2019 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
Machine learning (automated processes that learn by example in order to classify, predict, discover or generate new data) and artificial intelligence (methods by which a computer makes decisions or discoveries  ...  Every week, new applications of machine learning and artificial intelligence are added to a growing corpus of work.  ...  Zevin et al. [2017] used crowd-sourced categorization of common "glitch" signals in order to train a ML system for real-time glitch classification.  ... 
doi:10.1002/widm.1349 fatcat:k7swo7ozu5hhljtjlzofkxhb7u

Safer delivery of surgical services: a programme of controlled before-and-after intervention studies with pre-planned pooled data analysis

Peter McCulloch, Lauren Morgan, Lorna Flynn, Oliver Rivero-Arias, Graham Martin, Gary Collins, Steve New
2016 Programme Grants for Applied Research  
p < 0.001) and failed to improve glitch rate.  ...  A qualitative interview study provided explanatory data on the mechanisms of intervention success and failure.  ...  We would also like to recognise the departmental and research support within the University of Oxford and the host sites.  ... 
doi:10.3310/pgfar04190 fatcat:pmmfohmxrrglnj62pne2gw6qva

Formation of a transient amorphous solid in low density aqueous charged sphere suspensions [article]

Ran Niu, Sabrina Heidt, Ramsia Sreij, Riande I. Dekker, Maximilian Hofmann, Thomas Palberg
2017 arXiv   pre-print
We further present preliminary dynamic light scattering data showing the evolution of a second slow relaxation process possibly pointing to a dynamic heterogeneity known from other colloidal glasses and  ...  On a density dependent time scale of hours to days, the amorphous solid transforms into this stable structure.  ...  Acknowledgements We are pleased to thank Matthias Sperl, Alexander Ivlev Additional information Competing financial interests: The authors declare no competing financial interests  ... 
arXiv:1706.08583v3 fatcat:i2top4dx7re6vj27whjatmyl2q

uGLAD: Sparse graph recovery by optimizing deep unrolled networks [article]

Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
2022 arXiv   pre-print
This work introduces a novel technique to perform sparse graph recovery by optimizing deep unrolled networks.  ...  Probabilistic Graphical Models (PGMs) are generative models of complex systems.  ...  We leverage this property further to develop a novel 'consensus' strategy to robustly handle missing data.  ... 
arXiv:2205.11610v1 fatcat:bbrsnrjiinecroelm5u4fwgdq4

Active Expressions: Basic Building Blocks for Reactive Programming

Stefan Ramson, Robert Hirschfeld
2017 The Art, Science, and Engineering of Programming  
Ultimately, we would like active expressions to encourage experiments with novel reactive programming concepts and with that to yield a wider variety of them to explore.  ...  To find a suitable primitive, we identify commonalities in existing reactive concepts. We discover a class of reactive concepts, state-based reactive concepts.  ...  Acknowledgements We gratefully acknowledge the financial support of the Research School of the Hasso Plattner Institute.  ... 
doi:10.22152/ fatcat:s6ecq3duu5gufjemt4xut73cvy

"I don't want to feel like I'm working in a 1960s factory": The Practitioner Perspective on Creativity Support Tool Adoption

Srishti Palani, David Ledo, George Fitzmaurice, Fraser Anderson
2022 CHI Conference on Human Factors in Computing Systems  
We collect and analyze 23 videos, 13 interviews, and 105 survey responses of creative practitioners refecting on their values to derive a value framework.  ...  With the rapid development of creativity support tools, creative practitioners (e.g., designers, artists, architects) have to constantly explore and adopt new tools into their practice.  ...  One quantitative measure is the Creativity Support Index [14, 17] , a general-purpose survey to gauge a novel CST's efectiveness.  ... 
doi:10.1145/3491102.3501933 fatcat:3oww4uxoircernop5khlnvr42q


Stephen T. Ridgway, Thomas Matheson, Kenneth J. Mighell, Knut A. Olsen, Steve B. Howell
2014 Astrophysical Journal  
In order to understand quantitatively the magnitude of the alert generation and Broker tasks, we have undertaken an analysis of the most numerous types of variable targets in the sky -- Galactic stars,  ...  However, the number of new discoveries may well drop below 100/night within 2 years. The same analysis applied to GAIA clarifies the complementarity of the GAIA and LSST surveys.  ...  In the case of GAIA, the ∼ 70 visits will be obtained in a complex and precisely known pattern over approximately 5 years.  ... 
doi:10.1088/0004-637x/796/1/53 fatcat:s6i7ymggijg4bgbpc544k3k67a

Methods for fault tolerance in networks-on-chip

Martin Radetzki, Chaochao Feng, Xueqian Zhao, Axel Jantsch
2013 ACM Computing Surveys  
Networks-on-Chip constitute the interconnection architecture of future, massively parallel multiprocessors that assemble hundreds to thousands of processing cores on a single chip.  ...  It comes with the downside of the circuit elements' increased susceptibility to failure.  ...  An obvious difficulty is the secrecy of manufacturing data that would be required to establish accurate, quantitative fault models.  ... 
doi:10.1145/2522968.2522976 fatcat:3t4b3rhbgbc2bphjevpkzlpm6u
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