The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In bioinformatics, protein multiple sequence alignment (MSA) and phylogenetic tree construction are among the major problems for which many algorithms have been developed to improve the accuracy the results. However, finding the best algorithm among the available ones remains a challenging task since the efficiency of an algorithm is closely related to the characteristics of the input sequences. Moreover,...
Hadith is the second source of Islamic law after Qur'an and an explanation of verses of the Qur'an. Today, there are many hadiths that appear and that are doubtful of its authenticity. The number of hadits that are doubtful of its authenticity or so-called dhaif and maudhu hadith can lead to errors in the determination of Islamic law for everyday life. The classification of hadith is required to know...
In this paper we propose a methodology for extracting complex sales expert rules by analyzing the data from the past lost/won deals stored in Customer Relationship Management Systems.
Mechanical and electrical equipments are widely used in industry. Existing electro-hydraulic mixing equipments mainly use expert systems for fault diagnasis. However, in order to increase the accuracy of diagnasis, the expert systems have to acquire more knowledge. And diagnosis system will bring great uncertainty due to limited knowledge. Furthermore, existing fault diagnosis system has the disadvantages...
The Silk Relics Expert System is developed based on the research on silk relics preservation and reconstruction. This article mainly introduces the process of developing the Silk Relics Expert System, including the knowledge's extraction and expression based on the expert experience and professional knowledge on silk relics area, the process of constructing reasoning framework and decision trees and...
Vitamins are organic foods that are indispensable for the growth and health of the body. In case of health problems, especially lack of vitamins, people are more trusting doctor and nutritionist to find out whether the treatment is still low-level disorder or chronic. With the use of technology applications such as expert systems, the needs of society in diagnosing early vitamin deficiency can be...
This paper aims to develop consulting services using telephone. Consultation mechanisms conduct questions and answers by using interactive voice response (IVR) based on expert system approach. A decision tree model is selected to represent the knowledge base of expert system, because it is possible to provide such scenario of interaction. This representation illustrates a multilevel structure, from...
Due to the vast and rapid increase in data, data mining has been an increasingly important tool for the purpose of knowledge discovery to prevent the presence of rich data but poor knowledge. In this context, machine learning can be seen as a powerful approach to achieve intelligent data mining. In practice, machine learning is also an intelligent approach for predictive modelling. A special type...
In a Power station, with multiple units and variety of control systems, management of alarms is the biggest challenge. The operator of each unit will be able to act upon the alarm depending upon the priority of the alarm message. There are two kinds of alarms. One process related alarms on which operator needs to act upon the disturbance. Second the equipment or system related alarm on which the operator...
Because of the damages a tropical cyclone (TC) can cause to properties, lives and infrastructure, it is important to forecast if a TC formed over the ocean, would make landfall. Currently, Australia uses ECMWF model, which assesses strike probability over a 300 km radius from the current location with a maximum forecasting lead time of 48 hours. This information is quite inadequate for cyclone preparedness...
In this paper, we develop a knowledge-based expert system case study called Speakeasy Expert System (S.E.S.) for exercising the rule-based expert system programming in both CLIPS and VisiRule. CLIPS stands for “C Language Integrated Production System” and it's an expert system tool created to facilitate the development of software to model human knowledge or expertise. VisiRule is a tool that allows...
Real-time data streams classification is a challenging data mining task. In real-time streaming environments concepts of instances might change at any time such as weather predictions, astronomical and intrusion detection etc. To address this issue, we present an adaptive ensemble classifier for data streams classification, which uses a set of decision trees for mining complex noisy instances in data...
Software maintenance is an ongoing process during the lifetime of an information system. Once it is on production the information system must evolve due to the operating environment changes, when new anomalies uncovered or when new user requirement arises. Prior to any software evolution, decision-making need to be undertaken by the organization's IT decision makers whether to proceed with the evolution...
The amber gemstones classification system is proposed and described in this paper. The amber data used in experiments are collected by amber art craft industry experts and divided manually into 30 classes. The presented investigations were care out in order to find out most accurate and fast classifier for online amber sorting application. QDA, KNN, RBF, and decision tree classifiers were tested....
In the last few years, computer-based classification has been introduced as an additional tool to improve the clinical diagnosis of the erythemato-squamous diseases. The objectives of this study are: to demonstrate the importance of computer-based classification algorithms which have only clinical features as input in helping the physician to differentiate between psoriasis and non-psoriasis diseases...
In 2005, 264 pupils of 1000 households in Indonesia had suffer from mental disorder. Currently, the number of that people tends to increase, possibly related to the economic crisis and social problems. Unfortunately, the number of psyciatrists are still rare in Indonesia. The number of psychiatrists in 2010 is around 616 people. Therefore, Indonesia still requires a lot of experts to address and overcome...
This paper proposes a hybrid approach based on ID3 decision tree and expert systems to the load forecasting. The proposed model considers the typification of weekdays and uses the influence of climate information to estimate the load. The proposed methodology was tested on real data of electrical load measured in southeast of Brazil. The results show that the proposed model was promising with competitive...
This paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software...
The ever growing presence of data led to a large number of proposed algorithms for classification and especially decision trees over the last years. Recently, it has been shown that decision trees outperform traditional approaches also on limited data. Therefore, increasing the decision tree classification accuracy yields better performance on both huge and moderate sized datasets. This paper proposes...
In this work we investigate several issues in order to improve the performance of decision trees. Firstly, we introduced or adopt a new composite splitting criterion aimed to improve classification accuracy. Secondly, we derive a new pruning technique using expert knowledge, which is able to significantly reduce the size of tree without degrading the classification accuracy. Finally, we implemented...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.