• 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 109 matches

• 2020
• 
  Hongsong Dong, Fengbao Yang, Xiaoxia Wang:
  Multi-label charge predictions leveraging label co-occurrence in imbalanced data scenario. Soft Comput. 24(23): 17821-17846 (2020)
• 
  Tomoharu Iwata, Naoki Marumo:
  Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. AAAI 2020: 4247-4254
• 
  Yuki Nagai, Tetsuya Oda, Nobuki Saito, Aoto Hirata, Masaharu Hirota, Kengo Katayama:
  Approach of a Japanese Co-Occurrence Words Collection Method for Construction of Linked Open Data for COVID-19. GCCE 2020: 478-479
• 
  Xiaomeng Wang, Yijun Ran, Tao Jia:
  Measuring similarity in co-occurrence data using ego-networks. CoRR abs/2007.13273 (2020)
• 2019
• 
  Weixuan Mao, Zhongmin Cai, Bo Zeng, Xiaohong Guan:
  Learning edge weights in file co-occurrence graphs for malware detection. Data Min. Knowl. Discov. 33(1): 168-203 (2019)
• 
  Fatimazahra Jakjoud, Anas Hatim, Abella Bouaddi:
  Fuzzy detection orange tree leaves diseases using a co-occurrence matrix-based K-nearest neighbours classifiers. Int. J. Knowl. Eng. Soft Data Paradigms 6(3/4): 185-195 (2019)
• 
  Jane Cho:
  Subject analysis of LIS data archived in a Figshare using co-occurrence analysis. Online Inf. Rev. 43(2): 256-264 (2019)
• 
  Jorge Martínez Gil, Bernhard Freudenthaler, A Min Tjoa:
  A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence. Trans. Large Scale Data Knowl. Centered Syst. 42: 91-110 (2019)
• 
  Liang Zhao, Zhikui Chen, Laurence T. Yang, M. Jamal Deen, Z. Jane Wang:
  Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 9:1-9:21 (2019)
• 
  Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
  Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. AAAI 2019: 379-386
• 
  Xumin Cai, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk:
  An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules. IEEE BigData 2019: 4950-4959
• 
  José Luis Balcázar, Marie Ely Piceno, Laura Rodríguez-Navas:
  Hierarchical Visualization of Co-Occurrence Patterns on Diagnostic Data. CBMS 2019: 168-173
• 
  Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du:
  Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI 2019: 1042-1049
• 
  Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
  Multi-view Information-theoretic Co-clustering for Co-occurrence Data. CoRR abs/1905.10594 (2019)
• 
  Marie Ely Piceno, José Luis Balcázar:
  Analysis of Co-Occurrence Patterns in Data through Modular and Clan Decompositions of Gaifman Graphs. CoRR abs/1910.05146 (2019)
• 2018
• 
  Sungjin Park, Seungyoon Nam:
  A mutational co-occurrence network in gastric cancer based on an association index. Int. J. Data Min. Bioinform. 20(1): 67-76 (2018)
• 
  Teruaki Hayashi, Yukio Ohsawa:
  Inferring variable labels using outlines of data in Data Jackets by considering similarity and co-occurrence. Int. J. Data Sci. Anal. 6(4): 351-361 (2018)
• 
  Kim Schouten, Onne van der Weijde, Flavius Frasincar, Rommert Dekker:
  Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data. IEEE Trans. Cybern. 48(4): 1263-1275 (2018)
• 
  Aghiles Salah, Melissa Ailem, Mohamed Nadif:
  Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. AAAI 2018: 3992-3999
• 
  Mirto Musci, Marco Ferretti:
  Mining Geometrical Motifs Co-occurrences in the CMS Dataset. DEXA Workshops 2018: 179-190
• 
  Nan Jia, Shaojing Fu, Dongsheng Wang, Ming Xu:
  A Co-occurrence Matrix Based Multi-keyword Ranked Search Scheme over Encrypted Cloud Data. ICCCS (1) 2018: 36-49
• 
  Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
  Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. IJCAI 2018: 786-792
• 
  Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
  Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. CoRR abs/1804.06055 (2018)
• 2017
• 
  Xian-Hua Han, Yen-Wei Chen, Gang Xu:
  Co-occurrence context of the data-driven quantized local ternary patterns for visual recognition. IPSJ Trans. Comput. Vis. Appl. 9: 4 (2017)
• 
  Stathis Hadjidemetriou, Marios Nikos Psychogios, Paul Lingor, Kajetan von Eckardstein, Ismini Papageorgiou:
  Restoration of Bi-Contrast MRI Data for Intensity Uniformity with Bayesian Coring of Co-Occurrence Statistics. J. Imaging 3(4): 67 (2017)
• 
  Daichi Amagata, Takahiro Hara:
  Mining Top-k Co-Occurrence Patterns across Multiple Streams. IEEE Trans. Knowl. Data Eng. 29(10): 2249-2262 (2017)
• 
  Hung Tran-The, Koji Zettsu:
  Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data. IEEE BigData 2017: 1006-1011
• 
  Stathis Hadjidemetriou, Marios Nikos Psychogios, Paul Lingor, Kajetan von Eckardstein, Ismini Papageorgiou:
  Restoration of Intensity Uniformity of Bi-contrast MRI Data with Bayesian Co-occurrence Coring. MIUA 2017: 616-628
• 2016
• 
  Luís Alexandre Estevão da Silva, Marinez Ferreira de Siqueira, Flávia dos Santos Pinto, Felipe Sodré M. Barros, Geraldo Zimbrão, Jano Moreira de Souza:
  Applying data mining techniques for spatial distribution analysis of plant species co-occurrences. Expert Syst. Appl. 43: 250-260 (2016)
• 
  Berkay Aydin, Vijay Akkineni, Rafal A. Angryk:
  Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica 20(4): 801-828 (2016)

skipping 79 more matches