=Paper=
{{Paper
|id=Vol-2482/paper28
|storemode=property
|title=Knowledge-Driven Analytics Impacting Human Quality Of Life
|pdfUrl=https://ceur-ws.org/Vol-2482/paper28.pdf
|volume=Vol-2482
|authors=Arijit Ukil,Leandro Marin,Antonio Jara,John Farserotu
|dblpUrl=https://dblp.org/rec/conf/cikm/UkilMJF18a
}}
==Knowledge-Driven Analytics Impacting Human Quality Of Life==
https://ceur-ws.org/Vol-2482/paper28.pdf
Knowledge-Driven Analytics Impacting Human Quality Of Life
Arijit Ukil Leandro Marin Antonio Jara John Farserotu
Tata Consultancy Services University of Murcia University of Applied CSEM, Switzerland
Kolkata, India Spain Sciences Western john.farserotu@csem.ch
leandro@um.es Switzerland (HES-SO)
arijit.ukil@tcs.com.com
Switzerland
jara@ieee.org
Abstract human life would be impacted in long term that
eventually influences the betterment to human society.
The theme of this workshop is knowledge-
driven analytics and systems that will attempt 2 Objective
to ensure positive influence to society and
quality of life. The likely areas are: managing The prime objective of this workshop is to bring
and analysis of knowledge for human mental forward the applications and technologies that through
and physical health condition improvement, knowledge-driven analytics bring positive outcomes to
maximizing the benefits of social network the human life and to the world at large. For example,
interactions while minimizing the ill-effects, knowledge-managed learning techniques have the
assisting human decision making in financial capability of providing robust prediction of medical
domain, controlled social network foot- condition, automated summarization, report generation,
printing, behavioral understanding and minimization of diagnosis error, enabling remote
subsequent necessary action recommendation, disease screening. It can predict the suicidal trend or
ensuring personal data privacy preservation, as state of depression from analyzing Facebook posts,
well as attempting to address few pertinent tweets or recent posted images. Prediction of
questions: How will I be alerted before a psychiatric disorders like schizophrenia, which
devastating financial decision? How can a physicians find difficult to anticipate would have
doctor be given augmented knowledge on immense impact on millions of human life. Traditional
diagnosis? All of us are different. Why we are coarse evidence driven medical treatment needs to be
not given personalized treatment instead of more precise and personalized. Big data and
average case treatment plan? How can we use availability of vast information invite severe data
big data and knowledge mining for developing privacy attacks which can potentially ruin one’s life and
sustainable societies by optimizing energy, reputation. One of the challenging applications is the
waste and perishable resource management? controlled release of private data without
How to prevent privacy breach? And many compromising the beneficial influence, prediction and
others. subsequent prevention of cyber-attacks and privacy
breach incidents. Knowledge-driven analytics will
1 Focus restrict an individual to venture into risky investments,
traps of false social requests.
The main focus of this workshop is to bring The goal of this workshop is to inculcate the
proposals and insights that demonstrate the knowledge- realization of long-term co-existence of human-life with
driven technologies, developments, applications for big data, artificial intelligence and deep analytics.
ensuring improvement of human quality of life. The Powerful tools, applications and ever-increasing
impact would be micro-level, where human life is knowledge sources will drive human life, its micro and
impacted in daily basis and at macro-level where macro conditions for augmenting the human
capabilities, minimizing the nuisances of infiltratory
technologies and overall betterment of human
experiences.
We expect researchers in the field of knowledge
management, artificial intelligence, data mining,
Copyright © CIKM 2018 for the individual papers by the papers' privacy analytics will provide insights of technological
authors. Copyright © CIKM 2018 for the volume as a collection
by its editors. This volume and its papers are published under
the Creative Commons License Attribution 4.0 International (CC
BY 4.0).
aspects as well as application-specific scenarios of [Ukil17A]A.Ukil, S. Bandyopadhyay, C. Puri, R.
knowledge. Singh, A. Pal, A. Mukherjee. Heartmate:
automated integrated anomaly analysis for
effective remote cardiac health management.
3 Relevance IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP),
We are at the crucial juncture of welcoming the
(2017): 6578-6579.
knowledge-driven management of our life. The theme
of CIKM 2018 “From Big Data and Big Information to [Ukil16] A. Ukil, S. Bandyopadhyay, C. Puri, R.
Big Knowledge" is appropriately aligned to the Singh, A. Pal, KM Mandana. CardioFit:
objective and goal of the workshop and rightly conveys Affordable Cardiac Healthcare Analytics for
the message of apparent arrival of inflection point of Clinical Utility Enhancement. eHealth 360°
big data analytics based industry solutions and research (2016): 390 - 396.
outcomes. Knowledge-driven technologies and
applications for improving human quality of life will [Puri17] C. Puri, R. Singh, S. Bandyopadhyay, A.Ukil,
potentially enable long-term human-centric A.Mukherjee. Analysis of phonocardiogram
convergence of futuristic applications. CIKM 2018 will signals through proactive denoising using
provide the platform to the researchers engaged in novel self-discriminant learner. 39th Annual
developing, implementing computational models and International Conference of the IEEE
analysis of such applications and technologies to Engineering in Medicine and Biology Society
present their works, interact with fellow researchers and (EMBC), (2017): 2753-2756.
gain ideas. [Ukil17B] A. Ukil, U. Kumar Roy. Smart cardiac
Many researchers from academia, industry and start-
health management in IoT through heart
ups are engaged in developing knowledge-driven
intelligent systems and applications like prediction of sound signal analytics and robust noise
medical condition from healthcare data, developing the filtering. IEEE 28th Annual International
intelligent physical, emotional and mental diagnosis Symposium on Personal, Indoor, and Mobile
systems, detecting incoherence human decisions and Radio Communications (PIMRC), (2017)
actions, personalization of drug administration and [Fraser14] F. Graham D. Adrian DC Chan, James R.
treatment, forecasting financial fraud or opportunities, Green, and Dawn T. MacIsaac. "Automated
advising personalized retail and financial decision biosignal quality analysis for
recommendation, deep learned systems, alert systems electromyography using a one-class support
for social networking misuse, proactive identification
vector machine." IEEE Transactions on
data privacy breach. Such researchers and industry
Instrumentation and Measurement 63, no. 12
persons would be interested to participate in this
workshop. This workshop will promote collaboration (2014): 2919-2930.
and discussion among scholars from the domains of [Puri16A] C.Puri et al.. iCarMa: Inexpensive Cardiac
machine learning, knowledge management and Arrhythmia Management--An IoT Healthcare
engineering, data science, bio-informatics, data privacy Analytics Solution. First Workshop on IoT-
and data security, and related others. enabled Healthcare and Wellness
Technologies and Systems (2016): 3-8.
Acknowledgments Gim18] J. Gim, S. Lee, and W. Joo, A Study of
Prescriptive Analysis Framework for Human
Leandro Marin is partially supported by Research Care Services Based On CKAN Cloud. Journal
Project TIN2017-86885-R from the Spanish Ministery of Sensors, (2018)
of Economy, Industry and Competitivity and Feder
[Puri16B] C. Puri et al. Classification of Normal and
(European Union).
Abnormal Heart Sound Recordings through
Robust Feature Selection. IEEE Computing in
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