|
Showing 1 - 8 of
8 matches in All Departments
This book covers the state of the art in learning algorithms with
an inclusion of semi-supervised methods to provide a broad scope of
clustering and classification solutions for big data applications.
Case studies and best practices are included along with theoretical
models of learning for a comprehensive reference to the field. The
book is organized into eight chapters that cover the following
topics: discretization, feature extraction and selection,
classification, clustering, topic modeling, graph analysis and
applications. Practitioners and graduate students can use the
volume as an important reference for their current and future
research and faculty will find the volume useful for assignments in
presenting current approaches to unsupervised and semi-supervised
learning in graduate-level seminar courses. The book is based on
selected, expanded papers from the Fourth International Conference
on Soft Computing in Data Science (2018). Includes new advances in
clustering and classification using semi-supervised and
unsupervised learning; Address new challenges arising in feature
extraction and selection using semi-supervised and unsupervised
learning; Features applications from healthcare, engineering, and
text/social media mining that exploit techniques from
semi-supervised and unsupervised learning.
|
Soft Computing in Data Science - Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27-28, 2017, Proceedings (Paperback, 1st ed. 2017)
Azlinah Mohamed, Michael W. Berry, Bee Wah Yap
|
R2,542
Discovery Miles 25 420
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the International
Conference on Soft Computing in Data Science, SCDS 2017, held in
Yogyakarta, Indonesia, November 27-28, 2017. The 26 revised full
papers presented were carefully reviewed and selected from 68
submissions. The papers are organized in topical sections on deep
learning and real-time classification; image feature classification
and extraction; classification, clustering, visualization;
applications of machine learning; data visualization; fuzzy logic;
prediction models and e-learning; text and sentiment analytics.
|
Soft Computing in Data Science - Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings (Paperback, 1st ed. 2016)
Michael W. Berry, Azlinah Hj. Mohamed, Bee Wah Yap
|
R2,529
Discovery Miles 25 290
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the International
Conference on Soft Computing in Data Science, SCDS 2016, held in
Putrajaya, Malaysia, in September 2016. The 27 revised full papers
presented were carefully reviewed and selected from 66 submissions.
The papers are organized in topical sections on artificial neural
networks; classification, clustering, visualization; fuzzy logic;
information and sentiment analytics.
|
Soft Computing in Data Science - First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings (Paperback, 1st ed. 2015)
Michael W. Berry, Azlinah Mohamed, Bee Wah Yap
|
R2,405
Discovery Miles 24 050
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the International
Conference on Soft Computing in Data Science, SCDS 2015, held in
Putrajaya, Malaysia, in September 2015. The 25 revised full papers
presented were carefully reviewed and selected from 69 submissions.
The papers are organized in topical sections on data mining; fuzzy
computing; evolutionary computing and optimization; pattern
recognition; human machine interface; hybrid methods.
|
Soft Computing in Data Science - 6th International Conference, SCDS 2021, Virtual Event, November 2-3, 2021, Proceedings (Paperback, 1st ed. 2021)
Azlinah Mohamed, Bee Wah Yap, Jasni Mohamad Zain, Michael W. Berry
|
R2,755
Discovery Miles 27 550
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the 6th
International Conference on Soft Computing in Data Science, SCDS
2021, which was held virtually in November 2021. The 31 revised
full papers presented were carefully reviewed and selected from 79
submissions. The papers are organized in topical sections on AI
techniques and applications; data analytics and technologies; data
mining and image processing; machine & statistical learning.
This book covers the state of the art in learning algorithms with
an inclusion of semi-supervised methods to provide a broad scope of
clustering and classification solutions for big data applications.
Case studies and best practices are included along with theoretical
models of learning for a comprehensive reference to the field. The
book is organized into eight chapters that cover the following
topics: discretization, feature extraction and selection,
classification, clustering, topic modeling, graph analysis and
applications. Practitioners and graduate students can use the
volume as an important reference for their current and future
research and faculty will find the volume useful for assignments in
presenting current approaches to unsupervised and semi-supervised
learning in graduate-level seminar courses. The book is based on
selected, expanded papers from the Fourth International Conference
on Soft Computing in Data Science (2018). Includes new advances in
clustering and classification using semi-supervised and
unsupervised learning; Address new challenges arising in feature
extraction and selection using semi-supervised and unsupervised
learning; Features applications from healthcare, engineering, and
text/social media mining that exploit techniques from
semi-supervised and unsupervised learning.
|
Soft Computing in Data Science - 5th International Conference, SCDS 2019, Iizuka, Japan, August 28-29, 2019, Proceedings (Paperback, 1st ed. 2019)
Michael W. Berry, Bee Wah Yap, Azlinah Mohamed, Mario Koeppen
|
R1,591
Discovery Miles 15 910
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the 5th
International Conference on Soft Computing in Data Science, SCDS
2019, held in Iizuka, Japan, in August 2019. The 30 revised full
papers presented were carefully reviewed and selected from 75
submissions. The papers are organized in topical sections on
information and customer analytics; visual data science; machine
and deep learning; big data analytics; computational and artificial
intelligence; social network and media analytics.
|
Soft Computing in Data Science - 4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings (Paperback, 1st ed. 2019)
Bee Wah Yap, Azlinah Hj. Mohamed, Michael W. Berry
|
R1,598
Discovery Miles 15 980
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the 4th
International Conference on Soft Computing in Data Science, SCDS
2018, held in Bangkok, Thailand, in August 2018. The 30 revised
full papers presented were carefully reviewed and selected from 75
submissions. The papers are organized in topical sections on
machine and deep learning, image processing, financial and fuzzy
mathematics, optimization algorithms, data and text analytics, data
visualization.
|
You may like...
Tenet
John David Washington, Robert Pattinson
Blu-ray disc
(1)
R54
Discovery Miles 540
|