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
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;
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
DOI :
10.1109/WAINA.2014.142