The world health organization shows us that cardiovascular disease is one of the noteworthy reasons for death in world. In this paper, data mining classification techniques i.e. Naive Bayes (NB), Support Vector Machine (SVM), k-nearest neighbors' (k-NN), Decision Tree (DT), Neural Network (NN), Logistic Regression (LR), Random Forest (RF), Gradient Boosting are proposed to predict probability coronary heart disease. present world, researchers trying and soul make advancements smart care...

The proliferation of digital communication and social media platforms has led to an upsurge in spam messages across various languages, including Bangla. These intrusive not only cause user annoyance but also elevate the risk important going unnoticed. To address this concern, we harnessed power natural language processing (NLP) techniques conjunction with machine-learning models. This study delves into efficacy diverse deep-learning models detecting Bangla language. Particularly,...

In recent years, due to advancement in modern technology and social communication, advertising new job posts has become very common issue the present world. So, fake posting prediction task is going be a great concern for all. Like many other classification tasks, posing leaves lot of challenges face. This paper proposed use different data mining techniques algorithm like KNN, decision tree, support vector machine, naïve bayes classifier, random forest multilayer perceptron deep neural...

Protein sequence classification is vital for understanding protein functionalities, aiding in the inference of novel functions. Machine learning and deep algorithms have revolutionized this field, offering insights into specific classes This study employs Natural Language Processing (NLP) techniques, including Integer Blosum encoding, efficient classification. SVM with count vectorizer achieves highest accuracy 92%, while encoding CNN surpasses NLP embedding techniques by 4%. The goal to...

With the increase in severity of COVID-19 pandemic situation, world is facing a critical fight to cope up with impacts on human health, education and economy. The ongoing battle novel corona virus, showing much priority diagnose provide rapid treatment patients. growth has broken healthcare system affected countries, creating shortage ICUs, test kits, ventilation support system. etc. This paper aims at finding an automatic detection approach which will assist medical practitioners disease...

Heart Disease is one of the leading diseases that causes enormous loss lives all over world. There are happened many works to diagnosis heart disease. In this paper, we considered some unusual approaches find out significant factors diseases. two disease data (Cleveland & Hungarian) and both them divided into 33%, 65% 100% data. Values different range individual attributes in these determined relevant Then, semi supervised learning algorithms such as Collective Wrapper, Filtered Yet Another...

Enterprise Resource Planning (ERP) software has become a very important part of the business nowadays. The main aim this paper is to choose most qualified and efficient ERP system in Bangladesh. MCDM process where complex decision making easy compared many alternatives based on multi-criteria. AHP TOPSIS are two models MCDM. Using AHP-TOPSIS integrated model multi-criteria, investigation selects best systems. Integrated reduces pairwise comparison between criteria alternatives. Our proposed...

This paper proposed a "Locally Adaptive K-Nearest Neighbor (LAKNN) algorithm" for pattern exploration problem to enhance the obscenity of dimensionality. To compute neighborhood local linear discriminant analysis is an effective metric which determines decision boundaries from centroid information. KNN novel approach uses in many classifications data mining and machine learning. class conditional probabilities unfamiliar pattern. For limited training high dimensional feature space this...

The prevalence and impact of obesity overweight is one the main concerns among researchers worldwide. There are several consequences students in developing countries like Bangladesh. Therefore, this study aims to explore or on individuals' self-esteem academic performance university

The spread of false health news and its dis-semination on the internet has become a major concern, due to potential have disastrous effects. To detect it, numerous approaches been attempted. However, we are aware very few studies that sought identify related information in Bangla. In this study, analyzed performance various Machine Learning Deep detecting Bangla health-related misinformation is available online. We created comprehensive data repository, consisting more than 5000 data,...

Breast cancer is the second most common disease throughout world, more than 1.8 million new breast cases diagnosed every year worldwide. Early detection and treatment of can be survived up to 97%. X-ray mammography, Ultra-sound system, MRI techniques are widely used system. But mammography system have high false diagnose rate. effective one detect tumor but very expensive, sometimes unreachable low-income people. On other hand, Microwave imaging technique non-invasive harmless alternative...

Garments and textile industry is one of the vital organizations in modern world. In world market, Bangladesh second largest manufacturer supplier clothing industry. has been facing many problems Employee turnover means to leave manpower from existing organization another sake better opportunity, salary so on. For this reason, faces because employee turnover. So there need a system or model that can predict rate help take necessary step stop by providing demands employees. research, several...

Cancer is now one of the leading causes death globally and in Bangladesh. This research focused on blood cancer patients because there are only a few studies Bangladesh cancer. Initially, we collected 340 data (blood non-blood cancer) from BSMMU hospital. Then use mining to rank 30 factors associated with Our methods include classification, chi-square (χ2) test, P-value, association rule mining. The most potent predictors (P-value < .001) were muscle pull, inability control bladder,...