Sentiment analysis on yelp reviews by Wong, Hong Yong

“…Sentiment analysis, also known as opinion mining, is used to systematically identify, quantify, and study affective states expressed by someone towards a topic or phenomenon. …”
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Short text classification by Nagarajan, Divya

“…The fundamental text mining techniques fail to achieve high accuracy because the short texts are much shorter, nosier and sparser. …”
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Information visualization of ageing genomics data of human and model organisms by Poluru Mastan, Nayana Rao

“…It is highly applied in scientific research, digital libraries, data mining, financial data analysis, market studies, manufacturing production control, drug discovery etc. …”
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A Bayesian approach to privacy enforcement in android system by Lee, Kang En

“…This problem is then dissected using Bayesian data mining, leveraging on the Bayesian classifier which uses supervised learning and statistical correlation to impact a good performance latency. …”
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Knowledge-based reactive planning and re-planning – a case-study approach by Djemai, Ramzi, Vassilev, Vassil, Ouazzane, Karim, Dey, Maitreyee

“…Such constraints apply to office and residential buildings, airports, mining sites, stadiums, ships, etc. Although some indoor spatial models have been developed, many are complex, and their applicability is non-universal. …”
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Will Latin America join petroleum’s new world order? by Pugliaresi, L

“…</p> <p>In the years just prior to the emergence of the US petroleum renaissance, Canada achieved substantial improvements in both mining and steam-assisted gravity drainage (SAGD) extraction techniques from the McMurray Formation in the Western Canada Sedimentary Basin. …”

Green practices in the hotel industry: the push and pull factors by Aripin, Norhani, Amran, Noor Afza, Saad, Natrah, Awalludin, Noor Rohin

“…The environmental issue in Malaysia has a long history, which began with river pollution because of tin mining operations.It has now become more critical as air pollution and waste disposal by the hotel industry have a negative impact on the environment.A total of 86 questionnaires were received from four-star and five-star hotels in Selangor, Kuala Lumpur and Putrajaya.The dependent variable is green practices, while the independent variables are motivational factors and barriers. …”
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15.094 Systems Optimization: Models and Computation, Spring 2002 by Freund, Robert Michael, Teo, Chungpiaw

“…Application domains include: transportation and logistics planning, pattern classification and image processing, data mining, design of structures, scheduling in large systems, supply-chain management, financial engineering, and telecommunications systems planning. …”
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100 news @ wall projection by Sun, Zhongyinan

“…Moving forward, further improvement and refinement can be carried out in the area of text mining, information retrieval and mobile interactivity.…”
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Experimental investigation of bedding plane orientation on the rockburst behavior of sandstone by He, M. C., Nie, W., Zhao, Z. Y., Guo, Wei

“…Rockburst is a violent rock failure process which poses a significant threat to human safety in mining and tunneling construction. Although many in situ investigations provided valuable insights on the rockburst mechanism, the failure and rock fragmentation process during a rockburst cannot be fully examined on the site. …”
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Discovering thematic objects in image collections and videos by Katsaggelos, Aggelos K., Yuan, Junsong, Zhao, Gangqiang, Fu, Yun, Li, Zhu, Wu, Ying

“…A multilayer candidate pruning procedure is designed to accelerate the image data mining process. Our solution can efficiently locate thematic objects of various sizes and can tolerate large appearance variations of the same thematic object. …”
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Habitat Complexity Influencing Avian Community Structure, Conservation Management and its Implications in Malaysia by Abdul Halim, Abdul Muhaimin, Norazlimi, Nor Atiqah

“…However, biodiversity resources are greatly affected by human activities such as mining operations, agricultural expansion, timber extraction, and hunting activity. …”
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Transforming education with deep learning: A systematic review on predicting student performance and critical challenges by Nazir, M., Noraziah, Ahmad, Rahmah, Mokhtar, Fakherldin, Mohammed, Khawaji, Ahmad

“…The paper analyses key technologies such as neural networks (NNs) and ensemble models used in educational data mining. The paper also points out limitations in previous studies, for example, data imbalance model interpretability, and issues of scalability. …”
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Cellular thermal shift assay for the identification of drug-target interactions in the Plasmodium falciparum proteome by Dziekan, Jerzy Michal, Wirjanata, Grennady, Dai, Lingyun, Go, Ka Diam, Yu, Han, Lim, Yan Ting, Chen, Liyan, Wang, Loo Chien, Puspita, Brenda, Prabhu, Nayana, Sobota, Radoslaw M., Nordlund, Pär, Bozdech, Zbynek

“…We outline an effective data processing workflow using the mineCETSA R package, which enables prioritization of drug-target candidates for follow-up studies. …”
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Developing a lightscape application (using a raspberry PI) by Ong, Wenchuan

“…The project aims to develop a web application, which will be hosted within the Raspberry Pi, for controlling the brightness of constant light source from the high power LED via the Raspberry Pi’s General Purpose Input Output (GPIO) pins and gather optimal settings for projecting images with the Light Blaster. …”
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Multiple centers based fuzzy clustering for imbalanced data by Liao, Hongda

“…Clustering for data mining is a useful technique in terms of identifying interesting distributions and discovering groups in the underlying data. …”
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Deep features for text spotting by Jaderberg, M, Vedaldi, A, Zisserman, A

“…Third, we have a method of automated data mining of Flickr, that generates word and character level annotations. …”

Pipelining digital feedback controllers by Han, Mingli.

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Multi-Cloud Strategy for Cloud Architects : Learn how to adopt and manage public clouds by leveraging BaseOps, FinOps, and DevSecOps / by Mulder, Jeroen, author 656258

“…With practical use cases, including IoT, data mining, Web3, and financial management, this book empowers you with the skills needed to develop, release, and manage products and services in a multi-cloud environment. …”
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Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia by Chuan, Zun Liang, Shao Jie, Ong, Yim Hin, Tham, Siti Nur Syamimi, Mat Zain, Yunalis Amani, Abdul Rashid, Ainur Naseiha, Kamarudin

“…This article introduces a novel artificial intelligence (AI) time-series algorithm, a simple stacked ensemble of simple linear regression (SLR) and Support Vector Regression (SVR), designed to forecast Malaysia’s annual electricity consumption, particularly in scenarios with limited datasets utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science methodology. Analysis revealed that this simple stacked ensemble SVR-based time-series algorithm, employing an ε -insensitive loss function with a third-degree polynomial kernel, outperformed 71 other SVR-based algorithms, including four time-series algorithms from the previous study. …”
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