Vacant technology forecasting using new Bayesian patent clustering

S Choi, S Jun - Technology Analysis & Strategic Management, 2014 - Taylor & Francis
Vacant technology forecasting (VTF) is a technology forecasting approach to find
technological needs for given industrial field in the future. It is important to know the future …

Large-scale support vector machine classification with redundant data reduction

XJ Shen, L Mu, Z Li, HX Wu, JP Gou, X Chen - Neurocomputing, 2016 - Elsevier
Large-scale image classification has shown great importance in object recognition and
image retrieval as the vast amounts of social multimedia sharing on the networks. While the …

Energy management in wireless sensor networks based on naïve bayes, MLP, and SVM classifications: A comparative study

AY Barnawi, IM Keshta - Journal of Sensors, 2016 - Wiley Online Library
Maximizing wireless sensor networks (WSNs) lifetime is a primary objective in the design of
these networks. Intelligent energy management models can assist designers to achieve this …

On the global stability of cholera model with prevention and control/Ayoade Abayomi Ayotunde…[et al.]

AA Ayoade, MO Ibrahim, OJ Peter - Malaysian Journal of …, 2018 - ir.uitm.edu.my
In this study, a system of first order ordinary differential equations is used to analyse the
dynamics of cholera disease via a mathematical model extended from Fung (2014) cholera …

A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes

F Cao, JZ Huang, J Liang - Applied Mathematics and Computation, 2017 - Elsevier
In this paper, we propose a fuzzy SV-k-modes algorithm that uses the fuzzy k-modes
clustering process to cluster categorical data with set-valued attributes. In the proposed …

Perbandingan reduced support vector machine dan smooth support vector machine untuk klasifikasi large data

E Suryanto, SW Purnami - Jurnal sains dan seni ITS, 2015 - ejurnal.its.ac.id
Klasifikasi merupakan pengelompokan objek ke dalam dua atau lebih kelompok yang
didasarkan pada variabel yang diamati. Support Vector Machine merupakan metode …

[PDF][PDF] Smooth support vector machine for suicide-related behaviours prediction

G Indrawan, IKP Sudiarsa, K Agustini… - International Journal of …, 2018 - academia.edu
Suicide-related behaviours need to be prevented on psychiatric patients. Prediction of those
behaviours based on patient medical records would be very useful for the prevention by the …

[PDF][PDF] Intelligent intrusion detection system based on MLP, RBF and SVM classification algorithms: a comparative study

IM Keshta - International Journal of Computer Science and …, 2018 - academia.edu
An effective approach for tackling network security problems is Intrusion detection systems
(IDS). These kind of systems play a key role in network security as they can detect different …

Visualizing web server logs insights with elastic stack–a case study of ummail's access logs

HY Muhammad, J Mohamad Zain - Malaysian Journal of Computing …, 2018 - ir.uitm.edu.my
One of the most significant information resources that often overlooked and it is mostly
owned by the modern organization today is logs data. Likewise, logs data analytics is …

Penerapan Optical Character Recognition Pada Dokumen Surat Keputusan Menggunakan Algoritma Reduced Support Vector Machines

LS Naibaho - 2020 - elibrary.unikom.ac.id
Optical Character Recognition (OCR) adalah aplikasi yang menerjemahkan gambar
karakter menjadi bentuk teks dengan cara menyesuaikan pola karakter. Surat Keputusan …