Page 19 - Big Data Analytics for Intelligent Healthcare Management

1.3 BIO-INSPIRED ALGORITHMS FOR BIG DATA ANALYTICS: A TAXONOMY 9

two types: large-vocabulary continuous speech recognition (LVCSR) and phonetic-based technique.
LVCSR performs indexing (to transliterate the speech content of audio) followed by searching (to find
an index-term). The phonetic-based technique deals with phonemes or sounds and performs phonetic
indexing and searching.
Video analytics visualize, examine, and extract meaningful information from video streams such as
CCTV footage, live streaming of sport matches etc. Video analytics can be performed at end devices
(edge) or centralized systems (server).
Social media analytics examines the unstructured or structured data of social media websites
(a platform that enables an exchange of information among users) such as Facebook, Twitter etc. There
are two kinds of social media analytics: (1) content-based (data posted by users) or (2) structure-based
(synthesizing the structural attributes). Predictive analytics is a method that uses historical and current
data to predict future outcomes, which can be done based on: heterogeneity (data coming from different
sources), noise accumulation (an estimation error during interpretation of data), spurious correlation
(uncorrelated variable due to huge size of dataset), or incidental endogeneity (predictors or explanatory
variables, which are independent of the residual term).
Fig. 1.9 shows the different parameters that are considered in different bio-inspired algorithms for
big data analytics.
There are four types of data mining techniques as studied from literature: classification, prediction,
clustering, or association. In classification, model attributes are used to arrange the data in a different
set of categories. The prediction technique is used to find out the unknown values. Clustering is an

Hbase
Scalability
Cassandra
NoSQL server MongodB

Storage Couchbase
Fault tolerance Neo4J

Agility
Classification
Parameters for big Virtualization
data analytics Prediction
Analytical technique
Clustering
Cost
Association
Ease of use
Reactive
Mechanism
Proactive
Data management

FIG. 1.9
Parameters of different bio-inspired algorithms for big data analytics.