posted by user: MariaEAI || 703 views || tracked by 2 users: [display]

MIKE 2017 : The 4th EAI International Conference on Mining Intelligence and Knowledge Exploration

FacebookTwitterLinkedInGoogle

Link: http://mikeconference.org/2017/show/home
 
When Sep 18, 2017 - Sep 19, 2017
Where KHARAGPUR, INDIA
Submission Deadline TBD
 

Call For Papers

To develop innovative and intelligent machines that are fit for futuristic use, it is necessary to take a holistic approach in order to recognize various situations and environmental issues. To do this, various types of machine learning mechanisms have been developed during past decades. Recently, deep Learning has been proposed as a new area of Machine Learning and Mining researches, which have been investigated with the objective of moving Machine Learning closer to one of its original goals. Deep learning is being tried to apply for various recognition fields where researchers feel difficulty, but can achieve very promising result such as Alphago by Google deep mind. This kind of learning mechanism can cooperate with various sensors, which are able to gather large information.
Also, the development of sensor networks, particularly in the last years, has extended their applicability in various domains, such as heritage preservation, environmental motoring and human activity recognition. Especially, to achieve highly natural interpretation of the environmental situation, various kinds of sensors should be widely employed in recognition system.
Therefore, integration of sensor data with intelligent machine learning scheme is a natural choice and henceforth the sensor-based recognition technology is emerging as an important field of research including artificial intelligence (AI). This special issue aims to highlight the latest research results and advances on algorithms and technologies for various sensor-based recognition systems. It will include related topics and demonstrate original research work in this field of research. It will also cover the results of investigation on these topics featuring novel solutions and discuss the future trend of research in this domain. The MIKE2017 will be an interdisciplinary conference that brings together researchers and practitioners from the domains of learning algorithms, data mining, machine learning, knowledge exploration, large-scale data analytics, big data, soft computing, information systems, and so on. The selected outstanding papers from MIKE2017 will be recommended to this special issue.

Related Resources

ICDM 2018   IEEE International Conference on Data Mining
ISCSAI 2018   2018 International Symposium on Computer Science and Artificial Intelligence
TIST Special Issue 2018   ACM TIST Special Issue on Advances in Causal Discovery and Inference
SSCI 2019   The 2019 IEEE Symposium Series on Computational Intelligence
SecureComm 2018   14th EAI International Conference on Security and Privacy in Communication Networks (SecureComm)
AusDM 2018   Australasian Data Mining Conference
ACIIDS 2018   10th Asian Conference on Intelligent Information and Database Systems
SI: Big Data Exploration, Visualization 2018   Special Issue on Big Data Exploration, Visualization and Analytics
ICDM 2018   IEEE International Conference on Data Mining
ISAIR 2018   The 3rd International Symposium on Artificial Intelligence and Robotics 2018