Search Results - Data mining. Electronic data processing Computer algorithms.

Data Clustering: Algorithms and Applications by Aggarwal, Charu C., Reddy, Chandan K.

“…In this book, top researchers from around the world cover the entire area of clustering, from basic methods to more refined and complex data clustering approaches…”
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Advanced Data Structures and Algorithms: Learn how to enhance data processing with more complex and advanced data structures (English Edition) by A, Abirami, R L, Priya

“… Description "Advanced Data Structures and Algorithms" is an important subject area in Computer Science that covers more complex and advanced topics related to data structures and algorithms…”
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Phishing detection based Associative Classification data mining by Abdelhamid, Neda, Ayesh, Aladdin, Thabtah, Fadi

“…•New structure of the phishing detection approach is developed.•A new AC data mining method that generates multiple labels rules is developed…”
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Analysis of length of hospital stay using electronic health records: A statistical and data mining approach by Baek, Hyunyoung, Cho, Minsu, Kim, Seok, Hwang, Hee, Song, Minseok, Yoo, Sooyoung

“… The purpose of this study was to determine which factors are associated with length of hospital stay, based on electronic health records, in order to manage hospital stay more efficiently…”
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A Survey of Uncertain Data Algorithms and Applications by Aggarwal, C.C., Yu, P.S.

“… This increases the challenge of mining and managing uncertain data, since the precise behavior of the underlying data is no longer known…”
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Data mining : concepts and techniques by Han, Jiawei, Kamber, Micheline, Pei, Jian

“… Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing…”
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Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to EHealth and Patient Data Monitoring by Schneider, Patrick, Xhafa, Fatos

“…Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing…”
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Big data processing using hybrid Gaussian mixture model with salp swarm algorithm by Saravanakumar, R., TamilSelvi, T., Pandey, Digvijay, Pandey, Binay Kumar, Mahajan, Darshan A., Lelisho, Mesfin Esayas

“…) for data processing, the map-reduce programming paradigm for data processing, and query optimization techniques to quickly and effectively extract accurate outcomes from a variety of options…”
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Electronic Communication Fault Signal Recognition Based on Data Mining Algorithm by Luo, Jun

“…In order to solve the technical problem of fault signal recognition in the field of communication, this paper proposes an electronic communication fault signal recognition method based on data mining algorithm…”
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PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability by Kirby, Jacqueline C, Speltz, Peter, Rasmussen, Luke V, Basford, Melissa, Gottesman, Omri, Peissig, Peggy L, Pacheco, Jennifer A, Tromp, Gerard, Pathak, Jyotishman, Carrell, David S, Ellis, Stephen B, Lingren, Todd, Thompson, Will K, Savova, Guergana, Haines, Jonathan, Roden, Dan M, Harris, Paul A, Denny, Joshua C

“…), an online environment supporting the workflow of building, sharing, and validating electronic phenotype algorithms…”
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Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms by Zheng, Bichen, Yoon, Sang Won, Lam, Sarah S.

“…•Malignant and benign tumor abstract patterns are explored by K-SVM respectively.•Similarities of tumors and abstract patterns is used for prediction model…”
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Forest Optimization Algorithm by Ghaemi, Manizheh, Feizi-Derakhshi, Mohammad-Reza

“…•Testing FOA in a smooth unimodal function shows its better results than GA and PSO.•FOA improved KNN classifier by feature weighting as a real problem in data mining…”
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Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review by Koleck, Theresa A, Dreisbach, Caitlin, Bourne, Philip E, Bakken, Suzanne

“…Natural language processing (NLP) of symptoms from electronic health records (EHRs) could contribute to the advancement of symptom science…”
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The improvement of the distributed computing efficiency in cloud–fog environments using data mining and metaheuristic algorithms by Mabadifar, Tahmineh, Attarzadeh, Iman, Mahdipour, Ebrahim

“… Task scheduling is an NP-hard problem, and applying data mining methods and metaheuristic algorithms to obtain optimal solutions in a reasonable computing time is a fundamental requirement…”
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Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering by Zhang, Chihao, Yang, Yang, Zhou, Wei, Zhang, Shihua

“… To this end, we propose a distributed Bayesian matrix decomposition model(DBMD) for big data mining and clustering…”
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Research on the Processing of Coal Mine Water Source Data by Optimizing BP Neural Network Algorithm With Sparrow Search Algorithm by Yan, Pengcheng, Shang, Songhang, Zhang, Chaoyin, Yin, Nini, Zhang, Xiaofei, Yang, Gaokun, Zhang, Zhuang, Sun, Quansheng

“… Therefore, the processing of coal mine water source data is of great significance to prevent mine water inrush accidents…”
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A Comprehensive Survey on Graph Neural Networks by Wu, Zonghan, Pan, Shirui, Chen, Fengwen, Long, Guodong, Zhang, Chengqi, Yu, Philip S.

“… The complexity of graph data has imposed significant challenges on the existing machine learning algorithms…”
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Fast algorithms for frequent itemset mining using FP-trees by Grahne, G., Zhu, J.

“…Efficient algorithms for mining frequent itemsets are crucial for mining association rules as well as for many other data mining tasks…”
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Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment by Khadjeh Nassirtoussi, Arman, Aghabozorgi, Saeed, Ying Wah, Teh, Ngo, David Chek Ling

“…•FOREX prediction through text mining of news is viable and effective.•Feature-selection by abstraction of word-hypernyms increases prediction accuracy…”
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Fast mining frequent itemsets using Nodesets by Deng, Zhi-Hong, Lv, Sheng-Long

“…•In this paper, we propose a novel data structure for frequent itemset mining.•Based on Nodeset, we present an efficient mining algorithm named FIN…”
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