Suchergebnisse - "Mining methods and algorithms"

Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index von Lv, Zhiqiang, Li, Jianbo, Dong, Chuanhao, Li, Haoran, Xu, Zhihao

“… The research of traffic revitalization index can provide support for the formulation and adjustment of policies related to urban management, epidemic …”
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Outlier Detection for Temporal Data: A Survey von Gupta, Manish, Jing Gao, Aggarwal, Charu C., Jiawei Han

“… In the statistics community, outlier detection for time series data has been studied for decades. Recently, with advances in hardware and software technology, …”
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Adaptation Regularization: A General Framework for Transfer Learning von Mingsheng Long, Jianmin Wang, Guiguang Ding, Pan, Sinno Jialin, Yu, Philip S.

“… Domain transfer learning, which learns a target classifier using labeled data from a different distribution, has shown promising value in knowledge discovery …”
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Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review von Chen, Zhiyuan, Van Khoa, Le Dinh, Teoh, Ee Na, Nazir, Amril, Karuppiah, Ettikan Kandasamy, Lam, Kim Sim

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Identifying At-Risk Students for Early Interventions-A Time-Series Clustering Approach von Jui-Long Hung, Wang, Morgan C., Shuyan Wang, Abdelrasoul, Maha, Yaohang Li, Wu He

“… The purpose of this paper is to identify at-risk online students earlier, more often, and with greater accuracy using time-series clustering. The case study …”
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Detecting and repairing anomaly patterns in business process event logs von Ko, Jonghyeon, Comuzzi, Marco, Maggi, Fabrizio Maria

“… Event log anomaly detection and log repairing concern the identification of anomalous traces in an event log and the reconstruction of a correct trace for the …”
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Coupling MDL and Markov chain Monte Carlo to sample diverse pattern sets von Camelin, François, Loudni, Samir, Pesant, Gilles, Truchet, Charlotte

“… Exhaustive methods of pattern extraction in a database face real obstacles to speed and output control of patterns: a large number of patterns are extracted, …”
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Robotic process automation using process mining — A systematic literature review von El-Gharib, Najah Mary, Amyot, Daniel

“… Process mining (PM) aims to construct, from event logs, process maps that can help discover, automate, improve, and monitor organizational processes. Robotic …”
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On detection of emerging anomalous traffic patterns using GPS data von Pang, Linsey Xiaolin, Chawla, Sanjay, Liu, Wei, Zheng, Yu

“… The increasing availability of large-scale trajectory data provides us great opportunity to explore them for knowledge discovery in transportation systems …”
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Change pattern relationships in event logs von Cremerius, Jonas, Patzlaff, Hendrik, Weske, Mathias

“… Process mining utilises process execution data to discover and analyse business processes. Event logs represent process executions, providing information about …”
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Recognition algorithm for cross-texting in text chat conversations von Lee, Da-Young, Cho, Hwan-Gue

“… As the development of the Internet and IT technology, short-text based communication is so popular compared with voice based one. Chat-based communication …”
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Efficient persistence landscape generation von Henderson, Taylor, Simon, Robert

“… Using topological summary tools such as persistence landscapes have greatly enhanced the practical usage of topological data analysis to analyze large-scale, …”
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A parameter-free KNN for rating prediction von Fopa, Medjeu, Gueye, Modou, Ndiaye, Samba, Naacke, Hubert

“… Among the most popular collaborative filtering algorithms are methods based on the K nearest neighbors (KNN). In their basic operation, KNN methods consider a …”
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Cost-Sensitive Online Classification von Jialei Wang, Peilin Zhao, Hoi, Steven C. H.

“… Both cost-sensitive classification and online learning have been extensively studied in data mining and machine learning communities, respectively. However, …”
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A Survey of Uncertain Data Algorithms and Applications von Aggarwal, C.C., Yu, P.S.

“… In recent years, a number of indirect data collection methodologies have lead to the proliferation of uncertain data. Such data points are often represented in …”
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Unsupervised Multiway Data Analysis: A Literature Survey von Acar, E., Yener, B.

“… Two-way arrays or matrices are often not enough to represent all the information in the data and standard two-way analysis techniques commonly applied on …”
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Label Propagation through Linear Neighborhoods von Wang, Fei, Zhang, Changshui

“… In many practical data mining applications such as text classification, unlabeled training examples are readily available, but labeled ones are fairly …”
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Automated variable weighting in k-means type clustering von Huang, J.Z., Ng, M.K., Hongqiang Rong, Zichen Li

“… This paper proposes a k-means type clustering algorithm that can automatically calculate variable weights. A new step is introduced to the k-means clustering …”
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PRESS: A personalised approach for mining top-k groups of objects with subspace similarity von Hashem, Tahrima, Rashidi, Lida, Kulik, Lars, Bailey, James

“… Personalised analytics is a powerful technology that can be used to improve the career, lifestyle, and health of individuals by providing them with an in-depth …”
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The Discrete Basis Problem von Miettinen, P., Mielikainen, T., Gionis, A., Das, G., Mannila, H.

“… Matrix decomposition methods represent a data matrix as a product of two factor matrices: one containing basis vectors that represent meaningful concepts in …”
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