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Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data

Reza Rawassizadeh, Elaheh Momeni, Chelsea Dobbins, Joobin Gharibshah, Michael Pazzani
2016 IEEE Transactions on Knowledge and Data Engineering  
This work introduces a set of scalable algorithms to identify patterns of human daily behaviors.  ...  These patterns are extracted from multivariate temporal data that have been collected from smartphones.  ...  CONCLUSION & FUTURE WORK In this paper, we have proposed a scalable approach for daily behavioral pattern mining from multiple sensor information.  ... 
doi:10.1109/tkde.2016.2592527 fatcat:s53ifgwujrgqbd4srvizlexjxi

Research Aligned Analysis on Web Access Behavioral Pattern Mining for User Identificationa

2019 International Journal of Engineering and Advanced Technology  
Mining user activity from web logs can helps in finding hidden information about the user access pattern which reveals the web access behaviour of the users.  ...  Human activity understanding includes activity recognition and activity pattern discovery.  ...  Identifying daily human behaviour plays a vital role. [3] Proposes a Scalable approach which mines the pattern from multivariate temporal data collected from smartphones.  ... 
doi:10.35940/ijeat.f9552.088619 fatcat:wxgynqsh5zbmxisl4jrqcvhgku

An Effective Intrusion Detection System (IDS) for Human Behavioral Pattern based Prediction Systems

Shali Sara Abraham
2018 International Journal for Research in Applied Science and Engineering Technology  
Keywords: Frequent pattern mining, multivariate temporal data, human centric data. I.  ...  This work introduces an exist of scalable algorithms to recognize patterns of human by the day behaviors.  ...  CONCLUSION In this Project work, it proposed a scalable approach for daily behavioral pattern mining from multiple sensor information.  ... 
doi:10.22214/ijraset.2018.4160 fatcat:ddqdasrwfbc5hlralc5ezvjiam

Behavioural health analytics using mobile phones

P. Wlodarczak, P. Soar, M. Ally
2015 EAI Endorsed Transactions on Scalable Information Systems  
These apps first learn a patients normal daily patterns and alert a health care centre if it detects a deviant behaviour. The health care centre can then call the patient and check on his well-being.  ...  Big Data analytics in healthcare has become a very active area of research since it promises to reduce costs and to improve health care quality.  ...  Challenges and ethical issues Behavioral patterns are highly personal and vary from individual to individual.  ... 
doi:10.4108/sis.2.5.e6 fatcat:dohl2a75kbf3hjqsiu4fdnkela

Approaches and Challenges in the Visual-interactive Comparison of Human Motion Data

Jürgen Bernard, Anna Vögele, Reinhard Klein, Dieter Fellner
2017 Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
Many analysis goals involving human motion capture (MoCap) data require the comparison of motion patterns.  ...  This work reflects the design space for visual-interactive systems facilitating the visual comparison of human MoCap data, and presents a taxonomy comprising three primary factors, following the general  ...  Other approaches abstract from the temporal domain by projecting the multivariate MoCap data into 2D, yielding path metaphors allowing the visual comparison of patterns (Hu et al., 2010; Bernard et al  ... 
doi:10.5220/0006127502170224 dblp:conf/grapp/BernardVKF17 fatcat:wluvr2p2snfgfksgddjdv7pwu4

Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering

Reza Rawassizadeh, Chelsea Dobbins, Mohammad Akbari, Michael Pazzani
2019 Sensors  
However, few indexing and annotation mechanisms are available, due to difficulties inherent in raw multivariate data types and the relative sparsity of sensor data.  ...  Our spatio-temporal clustering approach can be used as an annotation on raw sensor data.  ...  Separate from images, there is another group of works that tries to detect holistic daily patterns from raw mobile data [30, 51, 52] .  ... 
doi:10.3390/s19030448 fatcat:jmy2yv6ysfaatiz6m4tv5mbssy

Event-Based Analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections

Slava Kisilevich, Milos Krstajic, Daniel Keim, Natalia Andrienko, Gennady Andrienko
2010 2010 14th International Conference Information Visualisation  
We take a systematic approach to accomplish these tasks by applying scalable computational techniques, using statistical and data mining algorithms, combined with interactive geo-visualization.  ...  In this paper, we define several different tasks related to analysis of attractive places, points of interest and comparison of behavioral patterns of different user communities on geotagged photo data  ...  Pattern Analysis of Movement and Event Data").  ... 
doi:10.1109/iv.2010.94 dblp:conf/iv/KisilevichKKAA10 fatcat:6lpmgngle5g7ncvn445bnqsy3y

Data Abstraction for Visualizing Large Time Series

G. Shurkhovetskyy, N. Andrienko, G. Andrienko, G. Fuchs
2017 Computer graphics forum (Print)  
To cope with the increasing sizes of datasets, numerous approaches for abstracting large temporal data are developed in the area of data mining.  ...  We show that approaches developed in the data mining field are capable of creating representations that are useful for visualizing time series data.  ...  In both definitions, 'pattern' is a representation (constructed by a human or a computer) of something that objectively exists in the studied behavior, i.e., "essential features of a behavior" [AA05]  ... 
doi:10.1111/cgf.13237 fatcat:7kwaws22pvg2vaazk5u4o5k6ha

A survey on visual analysis of ocean data

Cui Xie, Mingkui Li, Haoying wang, Junyu Dong
2019 Visual Informatics  
elements and multivariate analysis, ocean phenomena identification and tracking, patterns or correlation discovery, ensembles and uncertainties exploration.  ...  Interactive visual analysis serves as an efficient complementary approach for the detection of various phenomena or patterns, and correlation exploring or comparing multiple variables in researchers daily  ...  Acknowledgments The authors wish to acknowledge the financial support from the National Natural Science Foundation of China (No. 41706010, U1706218,41576011), the Major Research plan of the National Natural  ... 
doi:10.1016/j.visinf.2019.08.001 fatcat:lnf2ixaegjhzjcz3tumnwhgjam

Mining electrical meter data to predict principal building use, performance class, and operations strategy for hundreds of non-residential buildings

Clayton Miller, Forrest Meggers
2017 Energy and Buildings  
The first step is temporal feature extraction, which utilizes a library of data mining techniques to filter various phenomenon from the raw data.  ...  A two-step framework is presented that extracts statistical, model-based, and pattern-based behavior.  ...  Acknowledgements The authors would like to thank all of the building operations and maintenance professionals from around the world that assisted in the gathering of the data utilized.  ... 
doi:10.1016/j.enbuild.2017.09.056 fatcat:dyonjhzkzrbctjsrvsedp64m4a

Methods for the visualization of clustered climate data

Thomas Nocke, Heidrun Schumann, Uwe Böhm
2004 Computational statistics (Zeitschrift)  
The area of data mining investigates new paradigms and methods including factors like scalability, flexibility and problem abstraction for large data sets.  ...  The field of visual data mining in particular offers valuable methods for analyzing large amounts of data intuitively.  ...  Applied cluster technique and data characteristics The application of multivariate pattern recognition techniques may help to investigate climate data under various aspects simultaneously for a wide range  ... 
doi:10.1007/bf02915277 fatcat:wcrp6tie7fcjnpeqikwewjj63m

Cloud-Based Behavioral Monitoring in Smart Homes

Niccolò Mora, Guido Matrella, Paolo Ciampolini
2018 Sensors  
testing frameworks for detecting changes in sensor-detected activities; and (iii) a clustering process, leveraging deep learning techniques, for extracting complex, multivariate patterns from daily sensor  ...  This paper presents a cloud-based framework for human behavioral monitoring, exploiting specific smart-home sensors.  ...  Behavior Analytics: offline data mining and modelling is performed on pilot data saved in the SQL DB.  ... 
doi:10.3390/s18061951 pmid:29914127 pmcid:PMC6021856 fatcat:a2cltvvlmvhzxchgv3u2rrc5o4

Diverse Visualization Techniques and Methods of Moving-Object-Trajectory Data: A Review

Jing He, Haonan Chen, Yijin Chen, Xinming Tang, Yebin Zou
2019 ISPRS International Journal of Geo-Information  
of visualizing trajectory data and mining hidden information.  ...  With the improvement of trajectory data quality, these data can generally describe information in the spatial and temporal dimensions and involve many other attributes (e.g., speed, orientation, and elevation  ...  ; Individual trajectory behaviors; Behavior comparison Weaknesses Ignored branch time; Spatial limitation; Combined implementation Comparative issue; Poor temporal scalability; Object  ... 
doi:10.3390/ijgi8020063 fatcat:fjd5jjfrhncfpowutovxxiyhpe

Information visualization and visual data mining

D.A. Keim
2002 IEEE Transactions on Visualization and Computer Graphics  
The advantage of visual data exploration is that the user is directly involved in the data mining process.  ...  Information visualization and visual data mining can help to deal with the flood of information.  ...  Examples of multidimensional (or multivariate) data are tables from relational databases, which often have tens to hundreds of columns (or attributes).  ... 
doi:10.1109/2945.981847 fatcat:aou6bbjg7fdthfpy5hsd4kw3mu

Data Mining for Climate Change and Impacts

Auroop R Ganguly, Karsten Steinhaeuser
2008 2008 IEEE International Conference on Data Mining Workshops  
This paper maps climate requirements to solutions available in temporal, spatial and spatiotemporal data mining.  ...  Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area.  ...  Branstetter of ORNL for the A1FI data and N. Singh of ORNL for the population projections. Reanalysis data are available from the NOAA website.  ... 
doi:10.1109/icdmw.2008.30 dblp:conf/icdm/GangulyS08 fatcat:pdlcwwda2zfkbbz2yxxu4whihm
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