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In the rapidly expanding fields of cellular and molecular biology, fluorescence illumination and observation is becoming one of the techniques of choice to study the localization and dynamics of proteins, organelles, and other cellular compartments, as well as a tracer of intracellular protein trafficking. The automatic analysis of these images and signals in medicine, biotechnology, and chemistry...
In this world, for any kind of information, people depend on internet. They use search engines like Google to search information over internet. The queries that are written on the web must be accurate which would give the relevant information related to user's Health Care. But there is huge amount of information on the internet and so it's difficult to get the relevant information easily. In case...
This paper explores the effectiveness of Particle Swarm Classification technique for tackling a classification problem in an emergent data mining field, called Educational Data Mining. More specifically, it applies Particle Swarm Classification to classify a data set of teachers' classroom questions into the cognitive levels of Bloom's taxonomy. Furthermore, the high dimensionality of questions data...
The key task of telecommunication systems in deep mining is to ensure safety and continuity of production. These systems, despite modern and innovative infrastructure monitoring solutions, are not free from drawbacks. The occurrence of false alarms of damage to infrastructure is the practical problem which causes many negative effects, such as increasing the cost of the current operation of the system,...
Data mining techniques used to analyze and discover data and correlations already present in databases, showed to be very reliable and useful especially when large volumes of data are processed. These techniques have been applied to many areas, such as marketing, medicine, diagnosis, business, biology, astronomy and others. In particular, astronomy requires techniques that allow the recognition or...
This paper aims to classify the demographics that affect successful high school recruitment. It also aims to minimize the workload of the admission/recruitment personnel in planning school-to-school promotion without compromising the chance of recruiting more high school students. Historical data of College Entrance Test examinees is used for classification. In view of this, the researchers have developed...
This paper focuses an overview of the main clustering techniques and classification algorithms for evaluation of risk and safety in civil aviation industry. This paper aim to study the performance of different clustering algorithms is correlated based on the time taken to build model arrangement the evaluated clusters. The Database contains number of accident data records for all categories of aviation...
To carry out Customer Relationship Management (CRM) is necessary to improve enterprises' core competition ability. CRM focus on customer resource management by using information technology, in order to assist managers to make practical decisions. And data mining and data warehouse technology are powerful tools to improve the rightness and accuracy of CRM. As a simple and efficient classification technology...
Data mining is a process of finding hidden information from databases storing historical data which are also known as data-warehouses. Classification being a very well-known data mining technique, groups similar data objects by establishing relationship between the objects under test and the pre-defined class labels obtained during training phase. Of all the classification algorithms, decision tree...
The student's assessment is the core of learning process, which facilitates teachers to evaluate a student's knowledge level; furthermore, the precise measurement helps the students knowledge development reaches their full potential. Usually, this assessment method is also known as computer adaptive testing (CAT). The conventional CAT systems contain its own item bank, which is stored separately in...
Decision tree algorithms have the ability to deal with missing values. While this ability is considered to be advantage, the extreme effort which is required to achieve it is considered a drawback. With the missing values the correct branch could be missed. Therefore, enhanced mechanisms must be employed to handle these values. Moreover, ignoring these null values may cause critical decision to user...
The burden of lifestyle diseases such as diabetes have reached epidemic proportions since the last decade in India. An estimated 75 million people in India would become diabetic by 2025. However, the existing healthcare infrastructure is inadequate to meet the demands of this exploding population. Provisioning a web-based patient support system that helps in patient centered decision making and physician...
We investigate how to use the scripts with automatically generated fast-performing analytic SQL statements to speed up the KDD-related tasks of attribute selection and decision tree induction. We base our framework on the entity-attribute-value data model in order to seamlessly scale the required queries with respect to the amounts of attributes involved in the given task's specification. We note...
Large databases of digital information are ubiquitous. Data from the neighborhood store's checkout register, your bank's credit card authorization device, records in your doctor's office, patterns in your telephone calls and many more applications generate streams of digital records archived in huge databases, sometimes in so-called data warehouses A new generation of computational techniques and...
This paper proposes a system which acquires feature patterns and makes classifiers for time series data without using background knowledge given by a user. Time series data are widely appeared in finance, medical research, industrial sensors, etc. The system acquires the feature patterns that characterize similar data in database. We focus on two aspects of the feature pattern: global and local frequency...
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...
In this paper we present a student information sheet reading system. Relevant algorithm is proposed to locate and label handwritten answer field. As information sheets can be filled in Arabic and/or in French, automating the script language differentiation is a pre-recognition required in the proposed system. We have developed a robust and fast field classification and script language identification...
Insurance has become an important way of investment, savings and risk management. Abnormal accessing of customer data has recognized a big problem to cause the loss of insurance companies' benefits and reputation. In this paper, we analyze the behavior of abnormal accessing from the operational records of operators in order to detect the possibilities of the abuse of customer data. An algorithm of...
Knowledge discovery is an important tool for the intelligent business to transform data into useful information that will increase the business revenue. Data mining techniques support automatic exploration of data, and attempts to classify the patterns and trends in data, and also infer decision rules from those patterns. Classification of dataset is an important function of mining which is a supervised...
As a new branch of data mining, privacy preserving data mining has become more and more important in the information security field. This paper first presents an insight into the principles of privacy preserving data mining, and then marks out the difference with normal data mining through three stages, including single data record methods, centralized dataset mining technology and secure multiparty...
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