• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 243 matches

• 2024
• 
  Tim U. H. Baumeister, Eivind Aadland, Roger G. Linington, Olav M. Kvalheim:
  Multivariate pattern analysis: a method and software to reveal, quantify, and visualize predictive association patterns in multicollinear data. BMC Bioinform. 25(1): 51 (2024)
• 
  Raja Rao Budaraju, Sastry Kodanda Rama Jammalamadaka:
  Mining Negative Associations from Medical Databases Considering Frequent, Regular, Closed and Maximal Patterns. Comput. 13(1): 18 (2024)
• 
  Jinfeng Yan, Congcong Miao, Fenzhen Su, Yongzhu Zhao:
  Association mining of coastline change and land use patterns to enhance conservation. Ecol. Informatics 80: 102544 (2024)
• 
  Taykhoom Dalal, Chirag J. Patel:
  PYPE: A pipeline for phenome-wide association and Mendelian randomization in investigator-driven biobank scale analysis. Patterns 5(6): 100982 (2024)
• 
  Jingwen He, Zilu Jiang, Zilong Pan, Qiwei Men, Kui Xie:
  The transition patterns of learners' behavior and the association with motivation and cognitive engagement in online learning. Res. Pract. Technol. Enhanc. Learn. 20: 26 (2024)
• 
  Riaz Minhas, Nur Yasin Peker, Mustafa Abdullah Hakkoz, Semih Arbatli, Yeliz Celik, Cigdem Eroglu Erdem, Beren Semiz, Yuksel Peker:
  Association of Visual-Based Signals with Electroencephalography Patterns in Enhancing the Drowsiness Detection in Drivers with Obstructive Sleep Apnea. Sensors 24(8): 2625 (2024)
• 
  Mahdieh Tavakoli, Mohssen Ghanavati-Nejad, AmirReza Tajally, Mohammad Sheikhalishahi:
  LRFM - based association rule mining for dentistry services patterns identification (case study: a dental center in Iran). Soft Comput. 28(7): 6085-6100 (2024)
• 
  Rema Padman, Jeong-Hin Chin, Abhishek Gupta, Rahul Ladhania:
  Examining Gameplay Patterns and their Association with Nutritional Knowledge. CoG 2024: 1-4
• 
  Rose Ann Caparas Malaborbor, Vincent Sulit Rivera, Rodolfo Raga Jr.:
  Student Individual Inventory: Discovering Patterns and Associations using Apriori and FP-growth. ICETT 2024: 153-159
• 2023
• 
  Weiwei Yu, Feng Zhao, Zhijun Ren, Dian Jin, Xinliang Yang, Xiaokun Zhang:
  Mining attention distribution paradigm: Discover gaze patterns and their association rules behind the visual image. Comput. Methods Programs Biomed. 230: 107330 (2023)
• 
  Tahani Z. Aldahdouh, Mari Murtonen, Jere Riekkinen, Henna Vilppu, Trang Nguyen, Petri Nokelainen:
  University teachers' profiles based on digital innovativeness and instructional adaptation to COVID-19: Association with learning patterns and teacher demographics. Educ. Inf. Technol. 28(11): 14473-14491 (2023)
• 
  Kamal Upreti, Divakar Singh, Anju Singh, Prashant Vats, Rishu Bhardwaj, Shreya Kapoor:
  Discovering patterns of live birth occurrence before in vitro fertilisation treatment using association rule mining. Int. J. Electron. Heal. 13(4): 275-294 (2023)
• 
  Anju Singh, Divakar Singh, Kamal Upreti, Vaibhav Sharma, Bhawani Singh Rathore, Jagdish Raikwal:
  Investigating New Patterns in Symptoms of COVID-19 Patients by Association Rule Mining (ARM). J. Mobile Multimedia 19(1): 1-28 (2023)
• 
  Carmen Vidaurre, Vadim V. Nikulin, María Herrojo Ruiz:
  Identification of spatial patterns with maximum association between power of resting state neural oscillations and trait anxiety. Neural Comput. Appl. 35(8): 5737-5749 (2023)
• 
  Fan Wu, Feng Lyu, Huaqing Wu, Ju Ren, Yaoxue Zhang, Xuemin Shen:
  Characterizing User Association Patterns for Optimizing Small-Cell Edge System Performance. IEEE Netw. 37(3): 210-217 (2023)
• 
  Neal G. Ravindra, Camilo Espinosa, Eloïse Berson, Thanaphong Phongpreecha, Peinan Zhao, Martin Becker, Alan L. Chang, Sayane Shome, Ivana Maric, Davide De Francesco, Samson Mataraso, Geetha Saarunya, Melan Thuraiappah, Lei Xue, Brice Gaudilliere, Martin S. Angst, Gary M. Shaw, Erik D. Herzog, David K. Stevenson, Sarah K. England, Nima Aghaeepour:
  Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. npj Digit. Medicine 6 (2023)
• 
  Jorge Augusto Hongo, Giovanni Marques de Castro, Alison Pelri Albuquerque Menezes, Agnello César Rios Picorelli, Thieres Tayroni Martins da Silva, Eddie Luidy Imada, Luigi Marchionni, Luiz-Eduardo Del-Bem, Anderson Vieira Chaves, Gabriel Magno de Freitas Almeida, Felipe Campelo, Francisco Pereira Lobo:
  CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species. Patterns 4(6): 100728 (2023)
• 
  Albe Bing Zhe Chai, Bee Theng Lau, Mark Tee Kit Tsun, Christopher McCarthy:
  Comparative analysis of regional variations in road traffic accident patterns with association rule mining. EAI Endorsed Trans. Pervasive Health Technol. 9 (2023)
• 
  Lesley J. Rogers:
  Development of Hand and Paw Preferences and Their Association with Other Patterns of Behaviour and Cognition. Symmetry 15(4): 926 (2023)
• 
  Arnau Marin, Silvia Rial Sariwati, Joaquim Bosch Castells, Xiaoyu Yan, Cristina Mas Cabrera, Mariona Estruga Vinyals, Pilar Llobet-Agullo:
  A pilot study on neonatal ultrasound patterns unraveling associations with obstetric factors. BSN 2023: 1-4
• 
  M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés:
  Explaining Learned Patterns in Deep Learning by Association Rules Mining. SOCO (2) 2023: 132-141
• 
  Ahmed Hossain, Xiaoduan Sun, Shahrin Islam, Shah Alam, Md. Mahmud Hossain:
  Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: association knowledge using data mining approach. CoRR abs/2302.14754 (2023)
• 
  Mohammad Dehghani, Zahra Yazdanparast, Mobin Mohammadi:
  Discovering the Symptom Patterns of COVID-19 from Recovered and Deceased Patients Using Apriori Association Rule Mining. CoRR abs/2308.06763 (2023)
• 2022
• 
  Yangyang Li, Yihan Zhu, Jia Yu Karen Tan, Hoong Chen Teo, Andrea Law, Dezhan Qu, Wei Luo:
  The impact of COVID-19 on NO₂ and PM_2.5 levels and their associations with human mobility patterns in Singapore. Ann. GIS 28(4): 515-531 (2022)
• 
  Estela Saquete, José Jacobo Zubcoff, Yoan Gutiérrez, Patricio Martínez-Barco, Javi Fernández:
  Why are some social-media contents more popular than others? Opinion and association rules mining applied to virality patterns discovery. Expert Syst. Appl. 197: 116676 (2022)
• 
  Ling Wang, Lingpeng Gui, Peipei Xu:
  Incremental sequential patterns for multivariate temporal association rules mining. Expert Syst. Appl. 207: 118020 (2022)
• 
  Christina Reynolds, Nora Mattek, Miranda M. Lim, Zachary T. Beattie, Hiroko H. Dodge, Jeffrey Kaye:
  Association Between Mild Cognitive Impairment and Seasonal Rest-Activity Patterns of Older Adults. Frontiers Digit. Health 4: 809370 (2022)
• 
  Freddy De la Cruz-Ruiz, Juana Canul-Reich, Erick De-La-Cruz-Hernandez, Rafael Rivera-López:
  Analysis of Bacterial Association Patterns that trigger Bacterial Vaginosis. Int. J. Comb. Optim. Probl. Informatics 13(4): 83-102 (2022)
• 
  Paraskevas Koukaras, Christos Tjortjis, Dimitrios Rousidis:
  Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences. Inf. Syst. 109: 102054 (2022)
• 
  Spencer R. Haupert, Xu Shi, Chen Chen, Lars G. Fritsche, Bhramar Mukherjee:
  A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns. J. Biomed. Informatics 136: 104237 (2022)

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