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  Lyrics mood prediction using Decision Tree algorithm     PROJECT ID: PYTHON16   PROJECT NAME: Lyrics mood prediction using Decision Tree algorithm   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: This paper presents a case-study of the effectiveness of a trained system into classifying Greek songs according to their audio characteristics or/and their lyrics into moods. We examine how the usage of different algorithms, featureset combinations and pre-processing parameters affect the precision and recall percentages of the classification process for each mood model characteristic. Experimental results indicate that the current selection of features offers accuracy results, the superiority of lyrics content over generic audio features as well as potential caveats with current research in Greek language stemming pre-processing methods. Related Work Research in mood detection and classification in musica...

  Breast cancer prediction using SVM algorithm     PROJECT ID: PYTHON04   PROJECT NAME: Breast cancer prediction using SVM algorithm   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: In this study, my task is to classify tumors into malignant (cancerous) or benign (non-cancerous) using features obtained from several cell images. Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. One of the most common diseases among women is breast cancer, the early diagnosis of which is of paramount importance. Given the time-consuming nature of the diagnosis process of the disease, using new methods such as computer science is extremely important for early detection of the condition. Today, the main emphasis is on the science of data mining as one of the computer methods in the field of diagnosis. In the...

  Breast cancer prediction using Neural Networks     PROJECT ID: PYTHON03   PROJECT NAME: Breast cancer prediction using Neural Networks   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: Technologies play a vital role in cancer care. Data mining approach has helped a lot in medical science due to its high efficiency in the prediction of the future health condition, and also helps in reduction of medical cost and improving the health of people and quality in real time which helps in saving lives' of people. Breast Tissue is the reason due to which breast cancer develops. It takes the second place for the most cancer diagnoses in the women after skin cancer. There are humungous data and information which gives an opportunity for analysing and understanding the process and make some researches using machine learning techniques. The main part of this paper is to create a tool for early prediction of breast can...