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Extracting the meaningful patterns from time series dataset is one of the interesting and challenging task of data mining especially from time series brain dataset. A seizure can be detected either by EEG or ECoG signal. The applied ECoG dataset is of sample size 400Hz and it has two class values one is ictal (seizure) another is pre-ictal (before seizure). The previous study is not much sufficient...
In this paper we demonstrate that some recent clustering techniques do not produce sensible clusters and fail to discover knowledge from underlying data sets. Sometimes, they obtain a huge number of clusters from few records and sometimes they obtain only two clusters from many records, where one cluster contains one record and the other cluster contains all remaining records. Interestingly, these...
In this paper we propose a Genetic Algorithm-based clustering technique called GMC that produces high-quality chromosomes in the initial population. The proposed technique also introduces two phases of crossover operation with extensive chromosomes generation aiming to produce high-quality offspring chromosomes and prevent degeneracy. The proposed technique also introduces three steps of mutation...
Clustering is a process that aims to group the similar records in one cluster and dissimilar records in different clusters. K-means is one of the most popular and well-known clustering technique for its simplicity and light weight. However, the main drawback of K-means clustering technique is that it requires a user (data miner) to estimate the number of clusters in advance. Another limitation of...
Clustering is a fundamental and widely used method for grouping similar records in one cluster and dissimilar records in the different cluster. In cluster analysis, a major problem is to determine the appropriate number of cluster in advance. It is difficult for a user (data miner) to estimate the appropriate number of clusters in advance. Another limitation of a well-known clustering technique called...
It is already discovered that miRNA works as a regulator for the functions and production of mRNA. Malfunctions in this regulatory relationship can lead to different types of genetic life threatening diseases. Identifying miRNA-mRNA interaction is very important to biological research for understanding complex process of genes, and to medical research for discovering new genetic medicines. Standard...
Existing systems for temporal relation extraction is spread over many domains from statistical approaches to hand crafted inference rules. Systems using hand crafted rules show good results in spite of the fact that they require human expertise that can be costly sometimes. Therefore, there is a need for fully automated systems independent of human interactions. Most of the existing temporal relation...
Sleep is a vital biological function. Polysomnography is usually used to determine sleep disorder but it is a partly invasive and interfering method due to attachment of many electrodes on to the body of the patient involved in monitoring process. Therefore patients already having some sort of sleep abnormality may face greater difficulty in sleeping resulting in improper diagnosis. But our proposed...
Many existing GA based clustering techniques generate the number of genes for a chromosome through random selection. Due the random selection there is a high chance of getting poor quality of initial genes in the initial population. A poor-quality initial population is likely to produce a poor-quality clustering solution. We argue that having a set of high quality chromosomes in the initial population...
In this paper a sensor based Remote Patient Diagnosing Center is implemented and the prospect of telemedicine in south Asian countries are analyzed accordingly. A computer with sensors and interfacing devices are dedicated to build the complete remote diagnosing center. Hence, to extract signals from the body of patient, combinational networks of sensors are attached to the patient. Electrocardiogram...
In recent years there are various way of predicting the current measurement through nanoscale device has been established. One of the most widely used and accepted is non-equilibrium Green's function method (NEGF). After NEGF method is approached scientist has worked a lot for describing the electronics characteristics in an easier way. Among them recursive algorithm is easier way of analyzing the...
Attribute space extension for decision forests often contribute to improving the ensemble accuracy. In this paper we suggest the use of a recent method for attribute space extension where the newly generated attributes that have high classification capacity are chosen for extension. In literature, it is shown that the inclusion of these new attributes in the attribute space increases the prediction...
A complete Bangla PhotoOCR requires a series of carefully chosen algorithms. Text extraction from images is a long-standing active research area. It is even more attractive today due to the availability of low-cost mobile image acquisition devices. Many researchers have addressed this problem using different approaches. Often times, the first step towards text extraction from images is detection of...
Millions of users place data about themselves on on-line social networks and, while probably they have an interest on some of this information to be publicly available, they certainly may consider some of this information shall remain confidential. Simultaneously, the data provides benefits as such data enables personalization which increases the quality of service; and thus, it is regularly analyzed...
Power is one of the most important factors in developing the economy and the standard of living of a country. Like the rest of the countries of the world, in Bangladesh the demand for power is increasing day by day. To fulfill our future power demands, Solar Home System (SHS) seems to be the only feasible form of renewable energy despite the cloudy climate in Bangladesh. The objective of the study...
Energy is the prime need for the development of a country and its substantial economic growth. Over all forms of energies, nuclear energy is the most prominent, powerful and challenging energy source. Despite the effectiveness of this energy, its hazardous radiation effects can enormously be dangerous and destructive. Our study mainly focuses on the comparative overviews of nuclear energy aspects...
In this study we argue that the traditional approach of evaluating the information quality of an anonymized (or otherwise modified) dataset is questionable. We propose a novel and simple approach to evaluate the information quality of a modified dataset, and thereby the quality of techniques that modify data. We carry out experiments on eleven datasets and the empirical results strongly support our...
In this paper we present a novel technique called iDMI that imputes missing values of a data set by combining a decision tree algorithm (DT) and an expectation-maximization (EMI) algorithm. We first divide a data set into horizontal segments through applying a DT algorithm such as C4.5, and then apply an EMI algorithm on each segment in order to impute the missing values belong to the segment. If...
Data pre-processing and cleansing play a vital role in data mining for ensuring good quality of data. Data cleansing tasks include imputation of missing values, and identification and correction of incorrect/noisy data. In this paper, we present a novel approach called Co-appearance based Analysis for Incorrect Records and Attribute-values Detection (CAIRAD). For a data set having incorrect/noisy...
The use of segmental retaining wall units as the facing column for mechanically stabilized earth (MSE) retaining walls has increased noticeably all over the world. Hollow and solid, both types of modular block units are used in dry-stacked facing columns. Nowadays, Hollow concrete units are being implicated frequently because of its cost-effectiveness and other technical advantages. The cavities of...
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