Since microblogging messages such as tweets are of short length and noisy, clustering is a major ... more Since microblogging messages such as tweets are of short length and noisy, clustering is a major challenge. And due to sparseness, the traditional clustering techniques are inaccurate as well as inefficient. So this paper presents a new text representation framework where microblogging messages which are short and noisy are classified into general topics based on the content of messages with clustering. We divide classification into two different tasks : (1) Stored data classification of user annotated data(tweets), and (2) Live tweets classification .
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery
In this paper, a comprehensive review on Alzheimer's disease (AD) is carried out, and an expl... more In this paper, a comprehensive review on Alzheimer's disease (AD) is carried out, and an exploration of the two machine learning (ML) methods that help to identify the disease in its initial stages. Alzheimer's disease is a neurocognitive disorder occurring in people in their early onset. This disease causes the person to suffer from memory loss, unusual behavior, and language problems. Early detection is essential for developing more advanced treatments for AD. Machine learning (ML), a subfield of Artificial Intelligence (AI), uses various probabilistic and optimization techniques to help computers learn from huge and complicated data sets. To diagnose AD in its early stages, researchers generally use machine learning. The survey provides a broad overview of current research in this field and analyses the classification methods used by researchers working with ADNI data sets. It discusses essential research topics such as the data sets used, the evaluation measures employed...
International Journal on Recent and Innovation Trends in Computing and Communication, 2021
The main livelihood of the majoritarian population here is through farming, who dwell in villages... more The main livelihood of the majoritarian population here is through farming, who dwell in villages and feed the whole country. Food is one of the necessities of a human being, which the framers fulfill. However, they fail to get a proper price of the stock they sell in the market. Hence, they are deprived of getting profits for their stock. APMLOP helps them in getting a proper price for their stock and even get profit for their efforts. This paper aims to increase farm income in an efficient marketing system that controls the number of mediators in the marketing process and ensures maximum income for farmers. In this approach, the farmers directly deal with concerned retailers not efficient also well not at marketing system. Definitely selling the farm crops across the country and even outside the country this well indirectly help to increase the demand of the product and provide higher income to farmers also the growth of agro-based industries. By adopting new technology, develop o...
Since microblogging messages such as tweets are of short length and noisy, clustering is a major ... more Since microblogging messages such as tweets are of short length and noisy, clustering is a major challenge. And due to sparseness, the traditional clustering techniques are inaccurate as well as inefficient. So this paper presents a new text representation framework where microblogging messages which are short and noisy are classified into general topics based on the content of messages with clustering. We divide classification into two different tasks : (1) Stored data classification of user annotated data(tweets), and (2) Live tweets classification .
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery
In this paper, a comprehensive review on Alzheimer's disease (AD) is carried out, and an expl... more In this paper, a comprehensive review on Alzheimer's disease (AD) is carried out, and an exploration of the two machine learning (ML) methods that help to identify the disease in its initial stages. Alzheimer's disease is a neurocognitive disorder occurring in people in their early onset. This disease causes the person to suffer from memory loss, unusual behavior, and language problems. Early detection is essential for developing more advanced treatments for AD. Machine learning (ML), a subfield of Artificial Intelligence (AI), uses various probabilistic and optimization techniques to help computers learn from huge and complicated data sets. To diagnose AD in its early stages, researchers generally use machine learning. The survey provides a broad overview of current research in this field and analyses the classification methods used by researchers working with ADNI data sets. It discusses essential research topics such as the data sets used, the evaluation measures employed...
International Journal on Recent and Innovation Trends in Computing and Communication, 2021
The main livelihood of the majoritarian population here is through farming, who dwell in villages... more The main livelihood of the majoritarian population here is through farming, who dwell in villages and feed the whole country. Food is one of the necessities of a human being, which the framers fulfill. However, they fail to get a proper price of the stock they sell in the market. Hence, they are deprived of getting profits for their stock. APMLOP helps them in getting a proper price for their stock and even get profit for their efforts. This paper aims to increase farm income in an efficient marketing system that controls the number of mediators in the marketing process and ensures maximum income for farmers. In this approach, the farmers directly deal with concerned retailers not efficient also well not at marketing system. Definitely selling the farm crops across the country and even outside the country this well indirectly help to increase the demand of the product and provide higher income to farmers also the growth of agro-based industries. By adopting new technology, develop o...
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Papers by Manohar Madgi