DocumentCode
166678
Title
The Big Data Obstacle of Lifelogging
Author
Dobbins, C. ; Merabti, Madjid ; Fergus, P. ; Llewellyn-Jones, David
Author_Institution
Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool, UK
fYear
2014
fDate
13-16 May 2014
Firstpage
922
Lastpage
926
Abstract
Living in the digital age has resulted in a data rich society where the ability to log every moment of our lives is now possible. This chronicle is known as a human digital memory and is a heterogeneous record of our lives, which grows alongside its human counterpart. Managing a lifetime of data results in these sets of big data growing to enormous proportions, as these records increase in size the problem of effectively managing them becomes more difficult. This paper explores the challenges of searching such big data sets of human digital memory data and posits a new approach that treats the searching of human digital memory data as a machine learning problem.
Keywords
Big Data; information retrieval; learning (artificial intelligence); Big Data; data lifetime management; human digital memory data; lifelogging; machine learning problem; Big data; Clustering algorithms; Conferences; Entropy; Memory management; Search problems; Sensors; Big Data; Clustering; Human Digital Memory; Lifelogging; Machine Learning; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference on
Conference_Location
Victoria, BC
Print_ISBN
978-1-4799-2652-7
Type
conf
DOI
10.1109/WAINA.2014.142
Filename
6844757
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