[KNIHA][B] Internet of things and big data analytics toward next-generation intelligence
Internet of Things and big data are two sides of the same coin. The advancement of
Information Technology (IT) has increased daily leading to connecting the physical …
Information Technology (IT) has increased daily leading to connecting the physical …
Internet of Things based wireless body area network in healthcare
Internet of things (IoT) based wireless body area network in healthcare moved out from
traditional ways including visiting hospitals and consistent supervision. IoT allow some …
traditional ways including visiting hospitals and consistent supervision. IoT allow some …
Enhanced directed differential evolution algorithm for solving constrained engineering optimization problems
Abstract The performance of Differential Evolution is significantly affected by the mutation
scheme, which attracts many researchers to develop and enhance the mutation scheme in …
scheme, which attracts many researchers to develop and enhance the mutation scheme in …
Big data analytics in real time for enterprise applications to produce useful intelligence
Big data is a technique for storing and analyzing massive amounts of data. The use of this
technical edge allows businesses and scientists to focus on revolutionary change. The …
technical edge allows businesses and scientists to focus on revolutionary change. The …
Finding Top- Dominance on Incomplete Big Data Using MapReduce Framework
Incomplete data is one major kind of multi-dimensional dataset that has random-distributed
missing nodes in its dimensions. It is very difficult to retrieve information from this type of …
missing nodes in its dimensions. It is very difficult to retrieve information from this type of …
[KNIHA][B] A beginner's guide to image shape feature extraction techniques
This book emphasizes various image shape feature extraction methods which are
necessary for image shape recognition and classification. Focussing on a shape feature …
necessary for image shape recognition and classification. Focussing on a shape feature …
Big data analytics with machine learning tools
Big data analytics is the current, trending hot-topic in the research community. Several tools
and techniques for handling and analysing structured and unstructured data are emerging …
and techniques for handling and analysing structured and unstructured data are emerging …
Real time big data analytics to derive actionable intelligence in enterprise applications
S Sabitha Malli, S Vijayalakshmi, V Balaji - Internet of Things and Big Data …, 2018 - Springer
Big data is a large-scale data management and analysis technology. The implementation of
this technological advantage helps the enterprises and scientific community to concentrate …
this technological advantage helps the enterprises and scientific community to concentrate …
Teenagers sentiment analysis from social network data
L Rahman, G Sarowar, S Kamal - … From Social Networks Analysis to Social …, 2018 - Springer
Now a day's social networks generate a huge data from user view, emotions, thoughts,
opinions, suggestions regarding different products, events, places, brands, politics etc …
opinions, suggestions regarding different products, events, places, brands, politics etc …
Neural skyline filtering for imbalance features classification
In the current digitalized era, large datasets play a vital role in features extractions,
information processing, knowledge mining and management. Sometimes, existing mining …
information processing, knowledge mining and management. Sometimes, existing mining …