Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping
T Rakthanmanon, B Campana, A Mueen, G Batista… - ACM Transactions on …, 2013
Abstract Most time series data mining algorithms use similarity search as a core subroutine,
and thus the time taken for similarity search is the bottleneck for virtually all time series data
mining algorithms, including classification, clustering, motif discovery, anomaly detection, ...
and thus the time taken for similarity search is the bottleneck for virtually all time series data
mining algorithms, including classification, clustering, motif discovery, anomaly detection, ...
" Mine Your Own Business": Using Process Mining to Turn Big Data into Real Value
W van der Aalst - 2013
Abstract Like most IT-related phenomena, also the growth of event data complies with
Moore's Law. Similar to the number of transistors on chips, the capacity of hard disks, and
the computing power of computers, the digital universe is growing exponentially and ...
Moore's Law. Similar to the number of transistors on chips, the capacity of hard disks, and
the computing power of computers, the digital universe is growing exponentially and ...
Opportunities and Challenges in Data journalism
S McGregor, A Halevy - Computation for Humanity: Information Technology to …, 2013
... 16.2. 2 Event of the Network Traditionally, big data has been defined solely by its
size, and, specifically, whether a given data set required a supercomputer to process.
The most rel- evant measure of big data today, however ...
size, and, specifically, whether a given data set required a supercomputer to process.
The most rel- evant measure of big data today, however ...
On the Security and Stability Analysis of Power System Based on Big Data Mode
DQ Wei, B Wang, XP Ji - Advanced Materials Research, 2013
Abstract. The contradiction between the unbalanced geographical distribution and the
electricity consumption of energy distribution determines the long-distance; high-capacity
transmission will be an important feature in the future development of the electric power ...
electricity consumption of energy distribution determines the long-distance; high-capacity
transmission will be an important feature in the future development of the electric power ...
Volume-Based Data Representation of Big Data Analysis
Q Xu, ZX Zhao, W Wang - Advanced Materials Research, 2013
Abstract. Over the past decade, Big Data has been becoming a great research hotspot
because of continuous implementation of advanced techniques, burgeoning
interdisciplinary cooperation and varying user requirements. Because of its well-known ...
because of continuous implementation of advanced techniques, burgeoning
interdisciplinary cooperation and varying user requirements. Because of its well-known ...
Social Network Analysis of Classical Music and Possible Uses in Ubiquitous VR
A Bae, D Park, S Lee, J Park - Ubiquitous Virtual Reality (ISUVR), 2013 International …, 2013
... The digital footprint – in the forms of documentations and artworks – of these
collaborations have resulted in the emergence of the "Big Data" in the arts and
humanities. Big Data, referring to the ever-expanding digital record ...
collaborations have resulted in the emergence of the "Big Data" in the arts and
humanities. Big Data, referring to the ever-expanding digital record ...
Is "Big Data" creepy?
R Cumbley, P Church - Computer Law & Security Review, 2013
Abstract We now live in a world of Big Data, massive repositories of structured, unstructured
or semi-structured data. This is seen as a valuable resource for organisations, given the
potential to analyse and exploit that data to turn it into useful information. However, the ...
or semi-structured data. This is seen as a valuable resource for organisations, given the
potential to analyse and exploit that data to turn it into useful information. However, the ...
Strategy Study on China E-Business Service in Big Data Era
WJ Xu - Advanced Materials Research, 2013
Abstract. The era of big data means that the data grows in explosive way, but this massive
growth of the data does not mean lots of information. In this article, we show that such big
data cannot be used in the same way as before; otherwise from the point of view of energy ...
growth of the data does not mean lots of information. In this article, we show that such big
data cannot be used in the same way as before; otherwise from the point of view of energy ...
A Monitoring Model of Unusual Transactions Based on Complex Event Processing
JX Wan, FY He, B Liu, SP Zhong - Advanced Materials Research, 2013
... Abstract. Faced with the demand for real-time "big data" processing, the existing
financial risk early warning systems are generally difficult to identify hidden risks
in massive data information quickly and accurately. This paper ...
financial risk early warning systems are generally difficult to identify hidden risks
in massive data information quickly and accurately. This paper ...
[PDF] The CEDA archive: Data, Services and Infrastructure
K Marsh - 2013
... between 1 and 27 users per workspace • JASMIN-CEMS Phase 2 underway to expand the
infrastructure –funded by the NERC "Big Data" initiative. ... CEDA have implemented scalable
systems to deal with era of 'Big Data' • CEDA are involved with numerous projects Page 33. ...
infrastructure –funded by the NERC "Big Data" initiative. ... CEDA have implemented scalable
systems to deal with era of 'Big Data' • CEDA are involved with numerous projects Page 33. ...
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