• 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 40 matches

• 2020
• 
  Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack:
  DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques. J. Cheminformatics 12(1): 44 (2020)
• 2019
• 
  Bapuji Rao, Sarojananda Mishra:
  Compression of community graph using graph mining techniques. Int. J. Hybrid Intell. Syst. 15(1): 55-65 (2019)
• 
  Rui Zhang, Wenguang Chen, Tse-Chuan Hsu, Hongji Yang, Yeh-Ching Chung:
  ANG: a combination of Apriori and graph computing techniques for frequent itemsets mining. J. Supercomput. 75(2): 646-661 (2019)
• 
  Xinge Lu, Dimitri Theodoratos, Aggeliki Dimitriou:
  Leveraging Pattern Mining Techniques for Efficient Keyword Search on Data Graphs. WISE Workshops 2019: 98-114
• 2018
• 
  Bapuji Rao:
  An Approach to Opinion Mining in Community Graph Using Graph Mining Techniques. Int. J. Synth. Emot. 9(2): 94-110 (2018)
• 2017
• 
  Bapuji Rao, Brojo Kishore Mishra:
  An Approach to Clustering of Text Documents Using Graph Mining Techniques. Int. J. Rough Sets Data Anal. 4(1): 38-55 (2017)
• 
  Bapuji Rao, Sarojananda Mishra:
  A New Approach to Community Graph Partition Using Graph Mining Techniques. Int. J. Rough Sets Data Anal. 4(1): 75-94 (2017)
• 
  Víctor Méndez Muñoz, Anna Cohen-Nabeiro, Romain David, Vicente José Ivars Camáñez, Alfons Nonell-Canals, Miquel Àngel Senar, Denis Couvet, Jean-Pierre Feral, Aurelie Delavaud, Thierry Tatoni:
  Analysis on the Graph Techniques for Data-mining and Visualization of Heterogeneous Biodiversity Data Sets. COMPLEXIS 2017: 144-151
• 2016
• 
  Sabeur Aridhi, Engelbert Mephu Nguifo:
  Big Graph Mining: Frameworks and Techniques. Big Data Res. 6: 1-10 (2016)
• 
  Nicola Capuano, Santi Caballé, Jorge Miguel:
  Improving Peer Grading Reliability with Graph Mining Techniques. iJET 11(7): 24-33 (2016)
• 
  Sabeur Aridhi, Engelbert Mephu Nguifo:
  Big Graph Mining: Frameworks and Techniques. CoRR abs/1602.03072 (2016)
• 2015
• 
  Gangin Lee, Unil Yun, Heungmo Ryang, Donggyu Kim:
  Multiple Minimum Support-Based Rare Graph Pattern Mining Considering Symmetry Feature-Based Growth Technique and the Differing Importance of Graph Elements. Symmetry 7(3): 1151-1163 (2015)
• 
  Ake Osothongs, Vorapong Suppakitpaisan, Noboru Sonehara:
  Evaluating the importance of personal information attributes using graph mining technique. IMCOM 2015: 104:1-104:8
• 
  Bénédicte Le Grand:
  How can data (and graph) mining techniques support research in information systems? RCIS 2015: 2
• 2014
• 
  Huy Nhut Hang:
  Developing Profiles of Malware and User Behaviors Using Graph-Mining and Machine Learning Techniques. University of California, Riverside, USA, 2014
• 
  Frank Eichinger, Victor Pankratius, Klemens Böhm:
  Data mining for defects in multicore applications: an entropy-based call-graph technique. Concurr. Comput. Pract. Exp. 26(1): 1-20 (2014)
• 
  Ivan F. Videla-Cavieres, Sebastián A. Ríos:
  Extending market basket analysis with graph mining techniques: A real case. Expert Syst. Appl. 41(4): 1928-1936 (2014)
• 
  Sangeetha Kutty, Richi Nayak, Lin Chen:
  A people-to-people matching system using graph mining techniques. World Wide Web 17(3): 311-349 (2014)
• 
  Fukiko Kobayashi, Yumiko Nara:
  A Narrative Analysis by Text Mining Technique Using Key Graph: Similarity and Difference of a View of Oral Health and Oral Risk Cognition between Japanese Living People and Dentists. ICDM Workshops 2014: 455-461
• 
  Sebastián A. Ríos, Ivan F. Videla-Cavieres:
  Generating Groups of Products Using Graph Mining Techniques. KES 2014: 730-738
• 2013
• 
  Liheng Jian, Cheng Wang, Ying Liu, Shenshen Liang, Weidong Yi, Yong Shi:
  Parallel data mining techniques on Graphics Processing Unit with Compute Unified Device Architecture (CUDA). J. Supercomput. 64(3): 942-967 (2013)
• 
  Anis Yousefi, Alan Wassyng:
  A Call Graph Mining and Matching Based Defect Localization Technique. ICST Workshops 2013: 86-95
• 
  Alan M. Frieze, Aristides Gionis, Charalampos E. Tsourakakis:
  Algorithmic techniques for modeling and mining large graphs (AMAzING). KDD 2013: 1523
• 2012
• 
  Saif ur Rehman, Asmat Ullah Khan, Simon Fong:
  Graph mining: A survey of graph mining techniques. ICDIM 2012: 88-92
• 
  Michael R. Frasca, Kamesh Madduri, Padma Raghavan:
  NUMA-aware graph mining techniques for performance and energy efficiency. SC 2012: 95
• 2011
• 
  Frank Eichinger:
  Data-mining techniques for call-graph-based software-defect localisation. Karlsruhe Institute of Technology, 2011
• 
  Claudia Diamantini, Domenico Potena, Emanuele Storti:
  Clustering of Process Schemas by Graph Mining Techniques (Extended Abstract). SEBD 2011: 49-
• 
  Ana Paula Appel, Christos Faloutsos, Caetano Traina Jr.:
  Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs. Graph Data Management 2011: 239-259
• 2010
• 
  Ruoyu Zou, Lawrence B. Holder:
  Frequent subgraph mining on a single large graph using sampling techniques. MLG@KDD 2010: 171-178
• 
  Srinivasan Parthasarathy, Shirish Tatikonda, Duygu Ucar:
  A Survey of Graph Mining Techniques for Biological Datasets. Managing and Mining Graph Data 2010: 547-580

skipping 10 more matches