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Software Testing is a very important phase in the cycle of software development. It is the only phase which ensures the reliability on the software. Generally 40–50% of the software development cost is spent on this phase. Though many automatic testing tools are present, but still most research is required in this field to reduce cost and time allotted for this phase. Test Oracle is a process which...
Data mining has been used in several studies to uncover hidden information within dataset and to predict outcomes after application of algorithms. In this study, neural connection was adapted as data mining tool where supervised multilayer perceptron which is the architecture with back propagation learning algorithms was used on a new automobile data after application of clustering to remove outliers...
The present study proposes prediction approaches of student's grade based on their comments data. Students describe their learning attitudes, tendencies and behaviors by writing their comments freely after each lesson. The main difficulty of this research is to predict students' performance by separately using two class data in each lesson. Although students learn the same subject, there exist differences...
Posting online reviews and rating their satisfaction on purchased products has become an increasingly popular way to share the information for anonymous candidates who has interest in purchasing the product. In addition, people leave their interests and near-future purchasing plan on the web such as search history and search query volume. From this phenomenon, the prediction of sales performance is...
This work deals with an Intelligent Tutoring System (ITS) for reading comprehension. Such a system could promote reading comprehension skills. An important step towards building a full ITS for reading comprehension is to build an automated ranking system that will assign a hardness level to questions used by the ITS. This is the main concern of this work. For this purpose we, first, had to define...
Bangla handwritten character recognition is one of the complex works because of the wide variation of the Bangla character. In this paper we proposed a new approach for extracting the features of Bangla handwritten characters and then recognition of those characters using artificial neural network has done. For the feature extraction process we have used a row and column basis segmentation process...
The intermittent nature of wind poses significant problems to generation companies that wish to keep a close watch on the performance of their wind mills. A regular data mining process on historical measures becomes mandatory to analyze the behavior of each turbine, especially during periods of normal operation – that is when working regularly but with a possible loss of generation...
Earthquakes are what happens when immediate vibrations which shake earth surface, spread as waves as a result of earth crust cracks. Earthquakes depend on variables such as the way of spreading of these waves, calculation of these waves and calculating methods, evaluations of these recorded data sets. Predicting probable earthquakes and minimizing the damages are the important factors. Decision systems...
Real time applications deal with huge and rapidly changing data. It is difficult to extract knowledge from such huge and rapidly changing data. The problem arises when the focus is on examples with less number of observations. This is nothing but data imbalanced problem. The imbalanced learning focuses on data with very less number of observations. So to correctly classify the data with such less...
The multi factorial, chronic, severe diseases like diabetes and cancer have complex relationship. When the glucose level of the body goes to abnormal level, it will lead to Blindness, Heart disease, Kidney failure and also Cancer. Epidemiological studies have proved that several cancer types are possible in patients having diabetes. Many researchers proposed methods to diagnose diabetes and cancer...
Wireless Sensor Networks are dynamic in nature and the sensor nodes are self-organized. Due to the characteristics of the WSN and its nodes, knowing the location of the nodes is an important factor to be considered to improve the security in WSN. In this paper the location of a node [P] can be obtained using the Nearest Neighbor Reference Method [NNRM] and the reference node is the answer for the...
With the huge growth in the volume of data today, there is an enhanced need to extract meaningful information from the data. Data mining contributes towards this and finds its application across various diverse domains such as in information technology, retail, stock markets, banking, and healthcare among others. The increase in population coupled with the growth in diseases has necessitated the inclusion...
The rapid growth of the web has caused to availability of data effective if its content is well organized. Despite the fact that Wikipedia is the biggest encyclopedia on the web, its quality is suspect due to its Open Editing Schemas (OES). In this study, zoology and botany pages are selected in English Wikipedia and their html contents are converted to text then Artificial Neural Network (ANN) is...
In nuclear power reactor, temperature of the core has to be maintained within the safety limits. This can be achieved by monitoring and controlling the various system's parameter of nuclear reactor. One of the important system of nuclear reactor is primary heat transfer (PHT) system. Therefore, any fault in the PHT system may lead to the state where PHT parameters cross the safety limits, and reactor...
Academic failures among university students have been the subject of interest in higher education community. Students drop out due to poor academic performance as early as in the first year of their university enrolment. Many interested parties' debate and try to find reasons for this poor performance. Consequently, the ability to predict a student's performance could be useful in many ways to stakeholders...
One of the key success factors of lending organizations in general and banks in particular is the assessment of borrower credit worthiness in advance during the credit evaluation process. Credit scoring models have been applied by many researchers to improve the process of assessing credit worthiness by differentiating between prospective loans on the basis of the likelihood of repayment. Thus, credit...
Anomalies in computer networks has increased in the last decades and raised concern to create techniques to identify these unusual traffic patterns. This research aims to use data mining techniques in order to correctly identify these anomalies. Weka is a collection of machine learning algorithms for data mining tasks — was used to identify and analyse anomalies of a data set called SPAMBASE in order...
Creativity is a delicate subject when it comes to the understanding of how/when and why it occurs. In the last two decades considerable contributions incorporating creative mechanisms in computer applications were made. Recently, the discussion is turning towards the problems that are under the process of evaluating computer created visual objects, mainly in the area related to the automating aesthetic...
<?Pub Dtl?>Four data-mining approaches for wind turbine power curve monitoring are compared. Power curve monitoring can be applied to evaluate the turbine power output and detect deviations, causing financial loss. In this research, cluster center fuzzy logic, neural network, and -nearest neighbor models are built and their performance compared against literature. Recently developed adaptive...
There is well known: whether the advantage of using a normal process model to monitor the stability of a manufacturing process can be gained lies in the model's ability used to realize its conformance to the manufacturing process trend. In other words, whether a manufacturing process can be stabilized depends on how much is about the conformance level between its processing trend and the norm regulated...
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