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Classification spanning correlated data streams

Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
In this paper, we consider the classification problem defined over sliding-window join of several input data streams.  ...  For example, stock streams and news streams are related, where the classification patterns may involve features from both streams.  ...  As we are not aware of an existing data generator to evaluate classification spanning several related streams, we designed our own data generator.  ... 
doi:10.1145/1183614.1183637 dblp:conf/cikm/XuWFSP06 fatcat:h7a262sezbfg7nvzi4k5cczksu

Selecting the Most Relevant Brain Regions to Classify Children with Developmental Dyslexia and Typical Readers by Using Complex Magnocellular Stimuli and Multiple Kernel Learning

Sara Mascheretti, Denis Peruzzo, Chiara Andreola, Martina Villa, Tommaso Ciceri, Vittoria Trezzi, Cecilia Marino, Filippo Arrigoni
2021 Brain Sciences  
Of the two tasks, CM had the greatest weight when classifying TRs and children with DD in most of the ROIs spanning these streams.  ...  ROIs spanning the entire visual dorsal stream and ventral attention network (VAN) had higher discriminative weights and showed higher act1ivation in TRs than in children with DD.  ...  They express their gratitude to Giancarlo Lembo, Luca Brenz, Lucia Vitari and Stefania Rizzello for helping with data collection.  ... 
doi:10.3390/brainsci11060722 pmid:34071649 fatcat:7ixoq4mkrfbchfr2chbdqrjl4a

Online ECG-based Features for Cognitive Load Assessment

P. C. Caroline Chanel, Matthew D. Wilson, Sebastien Scannella
2019 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)  
Finally, we evaluated the possibility of classifying low versus high working-memory load using different classification algorithms.  ...  Moreover, we found significant working-memory load classification accuracy using both two-dimensional linear discriminant analyses (LDA) or a support vector machine (SVM).  ...  The Faros Streamer application 3 then allows streaming of these data through LSL. Additionally, a script was run to compute online RR SD metrics (see Sec. 2.3) and to stream them to LSL.  ... 
doi:10.1109/smc.2019.8914002 dblp:conf/smc/ChanelWS19 fatcat:gj3aevldozbtlbl3pcexgd4iie

Diatom Assemblages and their Associations with Environmental Variables in Oregon Coast Range Streams, USA

Christine L. Weilhoefer, Yangdong Pan
2006 Hydrobiologia  
Diatom-based site classification (Two-way Indicators Species Analysis, (TWIN-SPAN)) yielded 4 discrete groups that displayed weak correlations with environmental variables.  ...  NMDS axes were significantly correlated with watershed area, watershed geology, conductivity, total nitrogen, total solids and stream width.  ...  Acknowledgements Stream sampling was conducted by the Oregon Department of Environmental Quality as part of the Salmon Plan for Oregon Watersheds.  ... 
doi:10.1007/s10750-005-1615-1 fatcat:nygs3e26izeuvfr6h2f5gzs3je

Impact of Urbanization on Large Wood Sizes and Associated Recruitment Zones

Matthew T. Allen, Philippe G. Vidon
2020 Hydrology  
Occurrence of potentially productive LW recruitment zones is nevertheless best correlated to total forest land cover and forested riparian area.  ...  Although the results in general show urban land use to severely limit LW, they also stress that agricultural land use may be positively correlated to LW.  ...  Department of Agriculture-Natural Resources Conservation Service for public data access. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/hydrology7040089 fatcat:u2zirsp6unejtj74syasx3bgqa

Bucketization based Flow Classification Algorithm for Data Stream Privacy Mining

G. Kesavaraj, S. Sukumaran
2013 International Journal of Computer Applications  
For identification of useful information, the classification of continuous data streams is done.  ...  Before classification, the correlation set of attributes in the each record set are grouped using bucketization technique.  ...  Stream data classification is a demanding crisis as of two significant possessions: its infinite span and developing nature.  ... 
doi:10.5120/14063-2245 fatcat:gxazbioatfdl7cjyzryi373d6u

Fish assemblage structure in Brittany streams (France)

Thierry Oberdorff, Jean-Pierre Porcher
1992 Aquatic Living Resources  
Carre for making available data on fish. We thank R. Billard, D. Paugy, B. dc Mtrona, B. Hugueny, R. M. Hughes and C. Lévêque for their helpful comments on earlier drafts of this manuscript.  ...  We used data from 1978 to 1982 for fish assemblage structure analyses.  ...  T o examine temporal variation of individal species density we used data available for 1 1 sites (among the 50) from 1978 to 1987. Data were collccted during low flow pcriods (August to October).  ... 
doi:10.1051/alr:1992021 fatcat:tpoi4qdwajckxmuasqdfdor44a

Introduction to the special issue on discovery science

Michelangelo Ceci, Toon Calders
2018 Machine Learning  
Streams" by Pesaranghader et al. focuses on adaptive learning from evolving data streams.  ...  graph classification.  ... 
doi:10.1007/s10994-018-5749-6 fatcat:aisy73tcirexxnd45d5b34wyy4

Towards Automatic Spatial Verification of Sensor Placement in Buildings

Dezhi Hong, Jorge Ortiz, Kamin Whitehouse, David Culler
2013 Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings - BuildSys'13  
Analysis on the raw time series data has a classification accuracy of only 53%.  ...  By decomposing the signal into intrinsic modes and performing correlation analysis, an observable, statistical boundary emerges that corresponds to a physical one.  ...  We demonstrate our ability to classify sensor streams on the same platform (recall the sensor box we used to collect data).  ... 
doi:10.1145/2528282.2528302 dblp:conf/sensys/HongOWC13 fatcat:u45s6crbw5adzjccznwwuzvfim

To Study, Analyze and predict the Diseases using Big Data

Archana Bakare, Rajesh Argiddi
2017 International Journal of Computer Applications  
It is very hard to do analysis of social media data which has large amount of noisy, informal text of tweet messages and stream data.  ...  Twitter Stream API Tweet Collection C C Cleaning of data Apply K means algorithm for Clustering Classification of Data Prediction of Data  ...  Using over 500,000 messages spanning 10 weeks, we find that our best model achieves a correlation of .78 by leveraging a document classifier to identify relevant messages.  ... 
doi:10.5120/ijca2017913917 fatcat:ubj4d7nrivdszo6tzp6vfp2cim

Effects of sensorineural hearing loss on cortical synchronization to competing speech during selective attention

Søren A. Fuglsang, Jonatan Märcher-Rørsted, Torsten Dau, Jens Hjortkjær
2020 Journal of Neuroscience  
Compared with the attended speech, responses to the ignored stream were found to be reduced in both HI and NH listeners, allowing for the attended target to be classified from single-trial EEG data with  ...  Here, we used psychoacoustics and electroencephalography (EEG) in male and female human listeners to examine potential effects of hearing loss on EEG correlates of speech envelope synchronization in cortex  ...  We considered a classification to be 482 correct whenever the neural reconstruction was more correlated with the envelope of the 483 actual attended speech stream than with the envelope of the unattended  ... 
doi:10.1523/jneurosci.1936-19.2020 pmid:32094201 pmcid:PMC7083526 fatcat:diqwzm3qjjhpvnu3q4rpvajhkm

Windthrow and recruitment of large woody debris in riparian stands

Devesh Bahuguna, Stephen J. Mitchell, Yosune Miquelajauregui
2010 Forest Ecology and Management  
Log height above stream was negatively correlated with log decay class and valley width.  ...  Log length was negatively correlated with state of decay, and many windthrown logs were in an advanced state of decay before they entered the stream.  ...  Pearson correlation coefficients were used for assessing the correlations between height above stream and potential predictor variables such as log diameter, valley width and decay class.  ... 
doi:10.1016/j.foreco.2010.02.015 fatcat:6ix3zcagrjac3frfchrtp2q7nu

Cognitive strategies for locomotor navigation in normal development and cerebral palsy

Vittorio Belmonti, Simona Fiori, Andrea Guzzetta, Giovanni Cioni, Alain Berthoz
2015 Developmental Medicine & Child Neurology  
Both the CBT span and the Magic Carpet test were related to overall right-hemispheric impairment. In addition, CBT correlated with right periventricular impairment.  ...  Magnetic resonance imaging scans of children with CP were scored according to a newly validated semi-quantitative classification.  ...  The funders did not take part in study design, data collection, data analysis, manuscript preparation, or publication decisions.  ... 
doi:10.1111/dmcn.12685 pmid:25690114 fatcat:gzzcrosqmfg7tf2zirykh32cti

Stream Data Mining: Platforms, Algorithms, Performance Evaluators and Research Trends

Bakshi Rohit Prasad, Sonali Agarwal
2016 International Journal of Database Theory and Application  
Several available stream data mining algorithms of classification and clustering are specified along with their key features and significance.  ...  Also, the significant performance evaluation measures relevant in streaming data classification and clustering are explained and their comparative significance is discussed.  ...  Correlation Clustering in Data Streams [51] 2015 It provides a set of space and time efficient techniques for convex programming that solves the problems of correlation clustering that arise in dynamic  ... 
doi:10.14257/ijdta.2016.9.9.19 fatcat:4gpunxnul5e6roxdavsexmrgp4

Demonstration

Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri
2017 Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17  
MacroBase provides a set of highlyoptimized, modular operators for streaming feature transformation, classification, and explanation.  ...  To address this gap, we have developed MacroBase, a fast data analytics engine that acts as a search engine over fast data streams.  ...  (b) MacroBase performs classification and reports combinations of attributes that are disproportionately correlated with abnormal metrics.  ... 
doi:10.1145/3035918.3056446 dblp:conf/sigmod/BailisGRS17 fatcat:agybb7bbabempk2atxjhekoszq
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