Predict the Price in Stock Market Based on Heuristic Search Techniques Using Tensor Representation

Deivendran, P.; Kumar, N. Jagadish; Yashwanth, R.; Raghul, R.; Naresh, D.

doi:10.1109/icnwc57852.2023.10127251

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Cited by 2 publications

References 13 publications

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Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications

Deivendran,

Muthukaruppasamy,

Sampaul Thomas

et al. 2025

Data Science in the Medical Field

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Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications

Deivendran,

Muthukaruppasamy,

Sampaul Thomas

et al. 2025

Data Science in the Medical Field

View full text Add to dashboard Cite

Least Squares One-Class Support Tensor Machine

Zhao,

Fan

2024

JCC

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One-class classification problem has become a popular problem in many fields, with a wide range of applications in anomaly detection, fault diagnosis, and face recognition. We investigate the one-class classification problem for second-order tensor data. Traditional vector-based one-class classification methods such as one-class support vector machine (OCSVM) and least squares one-class support vector machine (LSOCSVM) have limitations when tensor is used as input data, so we propose a new tensor one-class classification method, LSOCSTM, which directly uses tensor as input data. On one hand, using tensor as input data not only enables to classify tensor data, but also for vector data, classifying it after high dimensionalizing it into tensor still improves the classification accuracy and overcomes the over-fitting problem. On the other hand, different from one-class support tensor machine (OCSTM), we use squared loss instead of the original loss function so that we solve a series of linear equations instead of quadratic programming problems. Therefore, we use the distance to the hyperplane as a metric for classification, and the proposed method is more accurate and faster compared to existing methods. The experimental results show the high efficiency of the proposed method compared with several state-of-the-art methods.

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Predict the Price in Stock Market Based on Heuristic Search Techniques Using Tensor Representation

Cited by 2 publications

References 13 publications

Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications

Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications

Least Squares One-Class Support Tensor Machine

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