• 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 211 matches

• 2021
• 
  Qiwei He, Francesca Borgonovi, Marco Paccagnella:
  Leveraging process data to assess adults' problem-solving skills: Using sequence mining to identify behavioral patterns across digital tasks. Comput. Educ. 166: 104170 (2021)
• 
  Ali Hamdi, Khaled B. Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora D. Salim:
  Spatiotemporal Data Mining: A Survey on Challenges and Open Problems. CoRR abs/2103.17128 (2021)
• 2020
• 
  Hiba Belhadi, Karima Akli-Astouati, Youcef Djenouri, Jerry Chun-Wei Lin:
  Data mining-based approach for ontology matching problem. Appl. Intell. 50(4): 1204-1221 (2020)
• 
  Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna:
  MineReduce: An approach based on data mining for problem size reduction. Comput. Oper. Res. 122: 104995 (2020)
• 
  Saman Forouzandeh, Atae Rezaei Aghdam, Soran Forouzandeh, Shuxiang Xu:
  Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook. Comput. Sci. Eng. 22(4): 62-73 (2020)
• 
  Marcos Guerine, Isabel Rosseti, Alexandre Plastino:
  A hybrid data mining heuristic to solve the point-feature cartographic label placement problem. Int. Trans. Oper. Res. 27(2): 1189-1209 (2020)
• 
  Hui-Chi Chuang, Chih-Chuan Chen, Sheng-Tun Li:
  Incorporating monotonic domain knowledge in support vector learning for data mining regression problems. Neural Comput. Appl. 32(15): 11791-11805 (2020)
• 
  Mohammed H. Ibrahim, Mehmet Hacibeyoglu:
  A novel switching function approach for data mining classification problems. Soft Comput. 24(7): 4941-4957 (2020)
• 
  Zayar Aung, Mikhaylov Ilya Sergeevich, Ye Thu Aung:
  Data Mining Methods for Solving Classification Problem of Oil Wells. BDET 2020: 40-44
• 
  Lina Leghrari, Noussaima El Khattabi, Belaïd Ahiod, Youssef Elbenani:
  Mining Tourism as An Orienteering Problem: A Real-World Data Case. GOL 2020: 1-5
• 
  Mohamed A. Tawhid, Abdel-Monem M. Ibrahim:
  Hybrid Binary Particle Swarm Optimization and Flower Pollination Algorithm Based on Rough Set Approach for Feature Selection Problem. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 249-273
• 
  Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna:
  MineReduce: an approach based on data mining for problem size reduction. CoRR abs/2005.07415 (2020)
• 
  Juan Camilo Fonseca Galindo, Gabriela de Castro Surita, José Maia Neto, Cristiano Leite de Castro, André Paim Lemos:
  A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers using Trajectory Data Mining. CoRR abs/2009.12691 (2020)
• 2019
• 
  Guozhu Dong:
  Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2019
• 
  Eiji Kano, Kazuhiko Tsuda:
  Use of a text mining method for classifying citizen report data and analyzing the occurrence trend of local problems. Artif. Intell. Res. 8(2): 1- (2019)
• 
  Bruno Samways dos Santos, Maria Teresinha Arns Steiner, Amanda Trojan Fenerich, Rafael Henrique Palma Lima:
  Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Comput. Ind. Eng. 138 (2019)
• 
  Alvaro Neuenfeldt Júnior, Elsa Silva, A. Miguel Gomes, Carlos Soares, José Fernando Oliveira:
  Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem. Expert Syst. Appl. 118: 365-380 (2019)
• 
  Farid Bourennani:
  Solving Heterogeneous Big Data Mining Problems Using Multi-Objective Optimization. Int. J. Appl. Metaheuristic Comput. 10(4): 18-37 (2019)
• 
  Eshref Januzaj, Visar Januzaj, Peter Mandl:
  An Application of Distributed Data Mining to Identify Data Quality Problems. iiWAS 2019: 418-422
• 
  Eiji Kano, Yoshikatsu Fujita, Kazuhiko Tsuda:
  A Method of Extracting and Classifying Local Community Problems from Citizen-Report Data using Text Mining. KES 2019: 1347-1356
• 
  Ítalo Gomes Santana:
  Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining. CoRR abs/1908.10705 (2019)
• 2018
• 
  Gowtham Atluri, Anuj Karpatne, Vipin Kumar:
  Spatio-Temporal Data Mining: A Survey of Problems and Methods. ACM Comput. Surv. 51(4): 83:1-83:41 (2018)
• 
  Youcef Djenouri, Djamel Djenouri, Zineb Habbas, Asma Belhadi:
  How to exploit high performance computing in population-based metaheuristics for solving association rule mining problem. Distributed Parallel Databases 36(2): 369-397 (2018)
• 
  Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski:
  Addressing problems with replicability and validity of repository mining studies through a smart data platform. Empir. Softw. Eng. 23(2): 1036-1083 (2018)
• 
  Hanjun Lee, Keunho Choi, Donghee Yoo, Yongmoo Suh, Soowon Lee, Guijia He:
  Recommending valuable ideas in an open innovation community: A text mining approach to information overload problem. Ind. Manag. Data Syst. 118(4): 683-699 (2018)
• 
  Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna:
  Hybrid data mining heuristics for the heterogeneous fleet vehicle routing problem. RAIRO Oper. Res. 52(3): 661-690 (2018)
• 
  Dalton Ndirangu, Waweru Mwangi, Lawrence Nderu:
  An ensemble outlier detection method for multiclass classification problem in data mining. DSIT 2018: 38-42
• 
  Aleksandar Pejic, Piroska Stanic Molcer:
  Relationship Mining in PISA CBA 2012 Problem Solving Dataset Using Association Rules. SACI 2018: 549-554
• 
  Andrea Vassilev:
  Data Mining Applied to Transportation Mode Classification Problem. VEHITS 2018: 36-46
• 
  Alexander Askinadze, Stefan Conrad:
  Respecting Data Privacy in Educational Data Mining: An Approach to the Transparent Handling of Student Data and Dealing with the Resulting Missing Value Problem. WETICE 2018: 160-164

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