Decision Mathematics, Statistical Learning and Data Mining | Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21
Langue : anglais
Edité par Springer, 2025
Série : Livre 394 sur 464 - Springer Proceedings in Mathematics & Statistics
- Livre broché
- Neuf

Vendeur : preigu, Osnabrück, Allemagnepreigu
Vendeur AbeBooks depuis 5 août 2024
Etat: Neuf
EUR 202,90
Quantité disponible : 5 disponible(s)
Ajouter au panierItem description from seller
Decision Mathematics, Statistical Learning and Data Mining | Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 | Wan Fairos Wan Yaacob (u. a.) | Taschenbuch | xxii | Englisch | 2025 | Springer | EAN 9789819734528 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de réf. du vendeur 134417154
- Titre
- Decision Mathematics, Statistical Learning and Data Mining | Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21
- Auteur
- Wan Fairos Wan Yaacob (u. a.)
- Éditeur
- Springer
- Année de publication
- 2025
- État de l'article
- Neu
- Reliure
- Taschenbuch
- Langue
- anglais
- ISBN à 10 chiffres
- 9819734525
- ISBN à 13 chiffres
- 9789819734528
- Poids de l'article
- 610 grammes
- Dimensions
- 235 x 155 x 22 mm
- Série
- Livre 394 sur 464: Springer Proceedings in Mathematics & Statistics
- Catalogues du vendeur
- Bücher
This book is a collection of selected research papers presented at the Mathematics, Statistics and Computing Technology (ICMSCT2023), held at the UST Angelicum College, Philippines, from 20th to 21st September 2023. This biennial event is a result from collaborations of university partners in Malaysia, Thailand, Indonesia and Philippines.
Increasing investment in digital technologies is a challenge faced by most countries after the crisis caused by COVID-19 and the demand of technological revolution 4.0. Indirectly, regardless of their level of development, they take into account the importance of redesigning strategies for resilient and sustainable regional economic development, increasing regional resilience and minimizing recovery costs as a basis for development. In such situation, this book gather discussion, viewpoints and findings on the recent works of mathematical and computing technology applications in order to propose solutions to overcome adversity of digital resilience.
This book covers a wide range of topics on applied mathematics, which includes decision mathematics and also applied statistics covering statistical learning with applications. In addition, the book also highlight the latest application of statistical mining and data visualization, particularly on data mining, machine learning and data visualization. Editors believe this book will interest and influence researchers on the recent techniques, methodologies and applications to ensure digital resilience and support future research.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
WAN FAIROS WAN YAACOB is an associate professor at Mathematical Sciences Studies, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA (UiTM), Malaysia. She is currently an Associate Research Fellow at Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Malaysia. She had a basic statistics degree from Universiti Teknologi MARA, Master of Science in Statistics from Universiti Kebangsaan Malaysia and PhD in Statistics from Universiti Teknologi MARA. Her area of research interest focuses on statistical modelling in dengue disease and road accidents. In addition to her passion in modelling count data, her interest is also in data mining and machine learning. She had published papers in various well-known scientific journals. She has presented papers at conferences both locally and internationally. She is also a certified trainer of data analyst and machine learning master by RapidMiner, USA. She has received UiTM Top Talent Award for her contribution and achievements as successful researcher by UiTM. Her current work is a collaboration with researchers from North Texas University on machine learning dengue outbreak prediction in Malaysia. She was a visiting lecturer with the Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA), Institut Teknologi Bandung, Indonesia. She has been invited as speaker for intensive courses on panel count model, data mining workshops and conferences from Institute Teknologi Bandung, PT Komatsu, Jakarta, Kasetsart University, UCSI, MIROS, ARI and IBDAAI. She is also a member of many organizations including IEEE and Institute of Statistics Malaysia.
YAP BEE WAH is Professor at UNITAR International University. She graduated with a BSc (Hons) (Mathematics Education) from University Sains Malaysia. She then obtained her Masters of Statistics degree from University of California, Riverside, USA, and her PhD (Statistics) from the University of Malaya. She recently joined UniTAR International University in 2021. Professor Dr. Yap Bee Wah was formerly a faculty member of the Center of Statistical and Decision Science Studies in Faculty of Computer and Mathematical Sciences (FSKM), Universiti Teknologi MARA. Her research interests are in Big Data Analytics, computational statistics and multivariate data analysis. Her research works are in healthcare, environment and business analytics. She was the head of Advanced Analytics Engineering Centre (AAEC) and a Research Interest Group in Faculty of Computer and Mathematical Sciences (2016 – 2020). In February 2021, AAEC became a Centre of Excellence of UiTM with the name Institute of Big Data Analytics and Artificial Intelligence (IBDAAI). She is now the principal fellow of IBDAAI, UiTM. She is supervising many PhD students. She is an active researcher and has published many papers. She is the conference chair of International Conference on Soft Computing in Data Science (2015-2019 & 2021). She is also one of the editors of the SCDS conference proceedings published in Springer CCIS series.
HAFIZ OBAID ULLAH MEHMOOD is an associate professor at COMSATS University Islamabad. He is a distinguished academic currently holding the position of tenured associate professor at COMSATS University Islamabad. With an illustrious career spanning multiple institutions, he previously served as an assistant professor at both COMSATS University Islamabad and Quaid-I-Azam University. Driven by a passion for interdisciplinary research, he earned his graduation honors from Universiti Teknologi Malaysia in 2013, where he was conferred with the Best Student Award. His academic journey has been marked by impactful mentorship, having supervised and co-supervised numerous PhD and MS students. Through his scholarly pursuits, Dr. Mehmood has contributed significantly to the scientific community, publishing a plethora of research articles, books and book chapters. His expertise lies at the intersection of mathematical biology, dynamics of suspensions, nano materials and non-Newtonian materials. His research methodologies encompass a range of analytical and numerical approaches.
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.
preigu
Osnabrück, Allemagne
Vendeur AbeBooks depuis 5 août 2024
Frais d'expédition de Allemagne vers Etats-Unis
| Article | 60 à 60 jours ouvrés | 60 à 60 jours ouvrés |
|---|---|---|
| Premier article | EUR 70,00 | EUR 70,00 |
Modes de paiement
- Paypal
Description de la boutique
preigu betreibt einen Onlineversandhandel mit über 1 Mio. Produkten in verschiedenen Sortimenten. Das Kernsortiment besteht aus Büchern, Medien und Spielwaren. Ein gelungenes Einkaufserlebnis ist das Ziel einer jeden Bestellung bei preigu, denn der Kunde und seine Zufriedenheit stehen an erster Stelle. preigu setzt daher auf einen kompetenten Kundenservice, funktionierende Prozesse und schnelle Reaktion.
Spécialité
Bücher, SpielwarenProfil professionnel du vendeur
preigu GmbH & Co. KG
Lengericher Landstraße 19
Osnabrück, Allemagne 49078
Conditions de vente
About Us
Legal website operator identification:
preigu GmbH & Co. KG
Lengericher Landstr. 19
49078 Osnabrück
Germany
Telephone: +49 (0) 541 / 580 72 84
Email: mail@preigu.de
VAT No: DE 455 380 498
AG Osnabrück - HRA 209647
PhG: preigu Verwaltung GmbH
AG Osnabrück - HRB 221793
CEO: Ansas Meyer
We are neither willing nor obliged to participate in dispute resolution proceedings before consumer arbitration boards.
We are a member of the initiative "FairCommerce" since 30.11.2016.
For more information, see: https://www.haendlerbund.de/de/haendlerbund/interessenvertretung/faircommerce
Droit de rétractation
Instructions for revocation
Right of withdrawal for the sale of goods
Revocation right for consumers
(A ‘consumer' is any natural person who concludes a legal transaction which, to an overwhelming extent, cannot be attributed to either his commercial or independent professional activities.)
Instructions for revocation
Revocation right
You have the right to revoke this contract within 14 days without specifying any reasons.
The revocation period is 14 days with effect from the day,
-
on which you or a third party nominated by you, which is not the carrier, had taken possession of the products, provided you had ordered one or more products within the scope of a standard order and this/these product/products is/are delivered uniformly;
-
on which you or a third party nominated by you, which is not the carrier, had taken possession of the last product, provided you had ordered several products within the scope of a standard order and these products are delivered separately;
-
on which you or a third party nominated by you, which is not the carrier, had taken possession of the last part delivery or the last unit, provided you had ordered a product, which is delivered in several part deliveries or units;
To exercise your right of withdrawal, you must inform us (preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Telephone number: +49 (0) 541 / 580 72 84, E-Mail address: mail@preigu.de) by means of a clear declaration (e.g. a letter sent by post, or an e-mail) of your decision to withdraw from this contract. You can use the attached model withdrawal form for this purpose, which is, however, not mandatory.
You can also exercise your right of withdrawal online by clicking on a button labelled accordingly (such as ‘Withdraw from contract' or similar) on the AbeBooks/ZVAB website. If you use this online function, you will immediately receive a confirmation of receipt on a durable medium (e.g. via email) containing information on the content of the withdrawal notice, as well as the date and time of its receipt.
In order to safeguard the revocation period, it is sufficient that you send the notification about the exercise of the revocation right before the expiry of the revocation period.
Consequences of the revocation
If you revoke this contract, we shall repay all the payments, which we received from you, including the delivery costs (with the exception of additional costs, which arise from that fact that you selected a form of delivery other than the most reasonable standard delivery offered by us), immediately and at the latest within 14 days from the day on which we received the notification about the revocation of this contract from you. We use the same means of payment, which you had originally used during the original transaction, for this repayment unless expressly agreed otherwise with you; you will not be charged any fees owing to this repayment.
We can refuse the repayment until the products are returned to us or until you have furnished evidence that you have sent the products back to us, depending on whichever is earlier.
You must return or transfer the products to us immediately and, in any case, at the latest within 14 days with effect from the day on which you inform us of the revocation of this contract. The deadline is maintained if you send the products before the expiry of the 14 day deadline.
You bear the direct costs for returning the products.
You must pay for any depreciation of the products only if this depreciation can be attributed to any handling with you that was not necessary for checking the condition, features and functionality of the products.
Criteria for exclusion or expiry
The revocation right is not available for contracts
-
for delivery of products, which are not prefabricated and for whose manufacturing an individual selection or stipulation by the consumer is important or which are clearly tailored to the personal requirements of the consumer;
-
for delivery of products, which can spoil quickly or whose use-by date would be exceeded quickly;
-
for delivery of alcoholic drinks, whose price was agreed at the time of concluding the contract, which however can be delivered 30 days after the conclusion of the contract at the earliest and whose current value depends on the fluctuations in the market, on which the entrepreneur has no influence;
-
for delivery of newspapers, periodicals or magazines with the exception of subscription contracts. The revocation right expires prematurely in case of contracts
-
for delivery of sealed products, which are not suitable for return for reasons of health protection or hygiene if their seal has been removed after the delivery;
-
for delivery of products if they have been mixed inseparably with other goods after the delivery, owing to their condition;
-
for delivery of sound or video recording or computer software in a sealed package if the seal has been removed after the delivery.
Specimen - revocation form
(If you wish to revoke the contract, please fill up this form and send it back to us.)
-
To preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Email address: mail@preigu.de :
-
I/we () herewith revoke the contract concluded by me/ us () regarding the purchase of the following products ()/
the provision of the following service () -
Ordered on ()/ received on ()
-
Name of the consumer(s)
-
Address of the consumer(s)
-
Signature of the consumer(s) (only in case of a notification on paper)
-
Date
(*) Cross out the incorrect option.