An Anomaly Detection Method for Individual Services on a Web-Based System by Selection of Dummy Variables in Multiple Regression

2014 ◽  
Vol 97 (2) ◽  
pp. 9-16 ◽  
Author(s):  
Yuki Tsuda ◽  
Masaki Samejima ◽  
Masanori Akiyoshi ◽  
Norihisa Komoda ◽  
Matsuki Yoshino
Keyword(s):  
Anomaly Detection ◽  
Multiple Regression ◽  
Detection Method ◽  
Web Based ◽  
Dummy Variables ◽  
Web Based System ◽  
Selection Of

An Anomaly Detection Method for Individual Service on Web-based System by Selection of Dummy Variables in Multiple Regression

2013 ◽  
Vol 133 (7) ◽  
pp. 1410-1416
Author(s):  
Yuki Tsuda ◽  
Masaki Samejima ◽  
Masanori Akiyoshi ◽  
Norihisa Komoda ◽  
Matsuki Yoshino
Keyword(s):  
Anomaly Detection ◽  
Multiple Regression ◽  
Detection Method ◽  
Web Based ◽  
Dummy Variables ◽  
Web Based System ◽  
Individual Service ◽  
Selection Of

An Anomaly Detection Method on Web-based System by Trend Analysis with Autoregressive Model

2014 ◽  
Vol 134 (6) ◽  
pp. 814-820
Author(s):  
Masaki Samejima ◽  
Hiroshi Ohno ◽  
Masanori Akiyoshi ◽  
Norihisa Komoda ◽  
Matsuki Yoshino
Keyword(s):  
Anomaly Detection ◽  
Trend Analysis ◽  
Autoregressive Model ◽  
Detection Method ◽  
Web Based ◽  
Web Based System

Adaptive anomaly detection method of Web-based attacks

2013 ◽  
Vol 32 (7) ◽  
pp. 2003-2006
Author(s):  
Kai WEN ◽  
Fan GUO ◽  
Min YU
Keyword(s):  
Anomaly Detection ◽  
Detection Method ◽  
Web Based

scholarly journals A Log-Based Anomaly Detection Method with Efficient Neighbor Searching and Automatic K Neighbor Selection

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Bingming Wang ◽  
Shi Ying ◽  
Zhe Yang
Keyword(s):  
Anomaly Detection ◽  
Large Scale ◽  
Nearest Neighbor ◽  
Detection Method ◽  
Tree Model ◽  
Log Data ◽  
Neighbor Search ◽  
Different Types ◽  
Efficient Selection ◽  
Selection Of

Using the k-nearest neighbor (kNN) algorithm in the supervised learning method to detect anomalies can get more accurate results. However, when using kNN algorithm to detect anomaly, it is inefficient at finding k neighbors from large-scale log data; at the same time, log data are imbalanced in quantity, so it is a challenge to select proper k neighbors for different data distributions. In this paper, we propose a log-based anomaly detection method with efficient selection of neighbors and automatic selection of k neighbors. First, we propose a neighbor search method based on minhash and MVP-tree. The minhash algorithm is used to group similar logs into the same bucket, and MVP-tree model is built for samples in each bucket. In this way, we can reduce the effort of distance calculation and the number of neighbor samples that need to be compared, so as to improve the efficiency of finding neighbors. In the process of selecting k neighbors, we propose an automatic method based on the Silhouette Coefficient, which can select proper k neighbors to improve the accuracy of anomaly detection. Our method is verified on six different types of log data to prove its universality and feasibility.

scholarly journals Selection of patients for clinical trials: an interactive web-based system

2004 ◽  
Vol 31 (3) ◽  
pp. 241-254 ◽  
Author(s):  
Eugene Fink ◽  
Princeton K Kokku ◽  
Savvas Nikiforou ◽  
Lawrence O Hall ◽  
Dmitry B Goldgof ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Web Based ◽  
Web Based System ◽  
Selection Of Patients ◽  
Selection Of

A web-based system for the selection of characteristic ground motions

2019 ◽  
Vol 135 ◽  
pp. 102688
Author(s):  
Robert Klinc ◽  
Žiga Šebenik ◽  
Matjaž Dolšek ◽  
Marko Brozovič ◽  
Matevž Dolenc
Keyword(s):  
Ground Motions ◽  
Web Based ◽  
Web Based System ◽  
Selection Of

scholarly journals Decision Support System for Selection of Quality Doves with Web-Based Analytical Hierarchy Process (AHP) Methods

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ardhian Ramadhan ◽  
Suprianto ◽  
Sumarno ◽  
Rohman Dijaya
Keyword(s):  
Decision Making ◽  
Operating Systems ◽  
Analytical Hierarchy Process ◽  
Decision Making Process ◽  
High Quality ◽  
Web Based ◽  
Hierarchy Process ◽  
Web Based System ◽  
Selection Of ◽  
Process Method

The purpose of making this system is to make it easier for breeders and pigeon lovers to determine high quality pigeons. The method used is the analytical hierarchy process (AHP), this method is used to support completing the program, using the analytical hierarchy process method, using the analytical hierarchy process method. this is because it can make it easier to make decisions. The result of this system is a web-based system that supports windows and linux operating systems, the purpose of making this system is to facilitate the decision making of high pigeons in determining quality pigeons that are integrated with database storage. The benefit of using this system is to facilitate the decision-making process for quality pigeons.

scholarly journals Implementasi Algoritma MOORA untuk Pemilihan Bibit Cabai Unggul Di Kota Tanjungbalai Berbasis Web

2021 ◽  
Vol 2 (1) ◽  
pp. 187-194
Author(s):  
Imam Wahyudi ◽  
Wan Mariatul Kifti ◽  
Sudarmin Sudarmin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Economic Value ◽  
Research Process ◽  
Future Research ◽  
Web Based ◽  
Moora Method ◽  
Web Based System ◽  
Selection Of

Abstrack:Chili is one type of plant that is widely planted by the community. Chili becomes a vegetable that has high economic value. However, farmers still use traditional methods in determining the chili seeds to be planted. Just as farmers choose chili seeds based only on chili seeds at a low price, so it is less able to overcome various pests that allow yields to fall. Of course this will have an impact on the lack of sale prices of crops. to carry out a research process by applying technology that can increase the yield of chilli crops through the application of a Decision Support System. The method used is the MOORA method which is one of the methods of a decision support system. Through the application of this method, researchers will compare each type of chilli seedlings based on criteria that will determine which chili is said to be superior. So that it will produce an information about the types of superior chili seeds based on all the existing criteria. Through the creation of a web-based system / application for the selection of superior chilli seedlings, farmers in Indonesia have broad access to take advantage of the results of future research making it easier for farmers to know which chili seeds are superior.The results of this study obtained the most superior chili with the highest value of 0.469, namely large red chilies. So what is the result of the recommendation for the implementation of this MOORA method is large red chili. Keywords:Decision Support System; MOORA Method; Chili Seed  Abstrak: Cabai merupakan salah satu jenis tanaman yang banyak ditanam masyarakat. Cabai menjadi sayuran yang memiliki nilai ekonomis yang tinggi. Akan tetapi petani masih meng-gunakan cara tradisional dalam menentukan bibit cabai yang akan ditanam. Seperti halnya petani memilih bibit cabai hanya berdasarkan bibit cabai dengan harga yang murah, sehingga hal tersebut kurang mampu mengatasi berbagai hama yang memungkinkan hasil panen menjadi turun. Tentu hal tersebut akan berdampak pada kurangnya harga jual hasil panen. untuk melakukan proses penelitian dengan menerapkan teknologi yang dapat meningkatkan hasil panen tanaman cabai melalui penerapan Sistem Pendukung Keputusan. Metode yang digunakan adalah metode MOORA  yang merupakan salah satu metode dari sistem pendukung keputusan. Melalui penerapan metode ini, peneliti akan membandingkan setiap jenis bibit cabai ber-dasarkan kriteria yang akan menentukan suatu cabai dikatakan unggul. Sehingga hal tersebut akan menghasilkan sebuah informasi tentang jenis bibit cabai unggul berdasarkan semua kriteria yang ada. Melalui pembuatan sistem/aplikasi berbasis web untuk pemilihan bibit cabai unggul ini, maka para petani di Indonesia memiliki akses luas untuk memanfaatkan hasil penelitian nantinya sehingga memudahkan para petani mengetahui bibit cabai yang unggul. Hasil dari penelitian ini mendapatkan hasil cabai yang paling unggul dengan nilai tertinggi 0,469 yaitu cabai merah besar. Kata Kunci:Sistem Pendukung Keputusan; Metode MOORA;Bibit Cabai

scholarly journals MULTIPLE CRITERIA DECISION SUPPORT WEB‐BASED SYSTEM FOR BUILDING REFURBISHMENT

2004 ◽  
Vol 10 (1) ◽  
pp. 77-85 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Altūras Kaklauskas ◽  
Andrius Gulbinas
Keyword(s):  
Decision Support ◽  
Management System ◽  
Multiple Criteria ◽  
Database Management System ◽  
Sound Insulation ◽  
Web Based ◽  
Model Base ◽  
Building Refurbishment ◽  
Web Based System ◽  
Selection Of

In order to design and realise an efficient building refurbishment, it is necessary to carry out an exhaustive investigation of all solutions that form it, ie planimetric and volumetric changes, the elimination of building deterioration and obsolescence, the improvement of architectural and aesthetic appearance and indoor environmental quality, etc). The efficiency level of the considered building's refurbishment depends on many factors, including cost of refurbishment, annual fuel economy after refurbishment, tentative pay‐back time, harm to health of the materials used, aesthetics, maintenance properties, functionality, comfort, sound insulation and longevity, etc. Solutions of an alternative character allow for a more rational and realistic assessment of economic, ecological, legislative, climatic, social and political conditions, traditions and for better satisfaction of architectural, comfort, functional, maintenance and other customer's requirements. They also enable one to cut down on refurbishment costs. The selection of a refurbishment version mostly depends on the needs and existing financial capability of tenants. Based on an analysis of the existing neural networks, information, expert and decision support systems and in order to determine the most efficient versions of building refurbishment, a Multiple Criteria Decision Support Web‐Based System for Building Refurbishment (BR‐DSS) consisting of a database, database management system, model‐base, model‐base management system and a user interface was developed. The developed BR‐DSS and its practical application are described in the paper. Basing oneself on the developed system and database, it is possible to perform the alternative design of a building's refurbishment, multiple criteria analysis and make the selection of the most efficient versions, etc.

Sign in / Sign up

Export Citation Format

Share Document