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ORCIDKnowledge and Information Systems, Volume 53
Volume 53, Number 1, October 2017
- Valter Crescenzi, Alvaro A. A. Fernandes, Paolo Merialdo
, Norman W. Paton:
Crowdsourcing for data management. 1-41 - Yu Yang, Jian Pei, Abdullah Al-Barakati:
Measuring in-network node similarity based on neighborhoods: a unified parametric approach. 43-70 - Bac Le, Hai V. Duong, Tin C. Truong, Philippe Fournier-Viger:
FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy. 71-107 - Christine Largeron, Pierre-Nicolas Mougel, Oualid Benyahia, Osmar R. Zaïane:
DANCer: dynamic attributed networks with community structure generation. 109-151 - Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu:
Spatial and semantical label inference for social media - A cross-network data fusion approach. 153-177 - Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions. 179-206 - Saber Salah, Reza Akbarinia, Florent Masseglia:
Data placement in massively distributed environments for fast parallel mining of frequent itemsets. 207-237 - Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka:
Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. 239-268 - Lukasz Zaniewicz, Szymon Jaroszewicz:
$$L_p$$ L p -Support vector machines for uplift modeling. 269-296
Volume 53, Number 2, November 2017
- Jin-ge Yao, Xiaojun Wan, Jianguo Xiao:
Recent advances in document summarization. 297-336 - Kyle D. Feuz, Diane J. Cook:
Collegial activity learning between heterogeneous sensors. 337-364 - Chun-Chieh Chen, Hong-Han Shuai, Ming-Syan Chen:
Distributed and scalable sequential pattern mining through stream processing. 365-390 - Yongsub Lim, U Kang:
Time-weighted counting for recently frequent pattern mining in data streams. 391-422 - Mridula Verma, Kaushal Kumar Shukla:
A new accelerated proximal technique for regression with high-dimensional datasets. 423-438 - Slimane Oulad-Naoui, Hadda Cherroun, Djelloul Ziadi:
A formal series-based unification of the frequent itemset mining approaches. 439-477 - Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari:
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures. 479-506 - Gang Tian, Jiajia Huang, Min Peng, Jiahui Zhu, Yanchun Zhang:
Dynamic sampling of text streams and its application in text analysis. 507-531 - Mohammad Ali Keyvanrad, Mohammad Mehdi Homayounpour:
Effective sparsity control in deep belief networks using normal regularization term. 533-550
Volume 53, Number 3, December 2017
- Yun Li, Tao Li, Huan Liu:
Recent advances in feature selection and its applications. 551-577 - Vo Ngoc Phu, Vo Thi Ngoc Chau, Nguyen Duy Dat, Vo Thi Ngoc Tran, Tuan A. Nguyen:
A valences-totaling model for English sentiment classification. 579-636 - Chandima Hewa Nadungodage, Yuni Xia, John Jaehwan Lee:
A GPU-oriented online recommendation algorithm for efficient processing of time-varying continuous data streams. 637-670 - Imen Boukhris, Zied Elouedi, Mariem Ajabi:
Toward intrusion detection using belief decision trees for big data. 671-698 - Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen:
CITIESData: a smart city data management framework. 699-722 - Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen, Ge Xu, Edward Y. Chang:
Mining collective knowledge: inferring functional labels from online review for business. 723-747 - Luca Pion-Tonachini, Scott Makeig, Kenneth Kreutz-Delgado:
Crowd labeling latent Dirichlet allocation. 749-765 - Nikitas Goumatianos, Ioannis T. Christou, Peter Lindgren, Ramjee Prasad:
An algorithmic framework for frequent intraday pattern recognition and exploitation in forex market. 767-804 - Abinash Tripathy, Abhishek Anand, Santanu Kumar Rath:
Document-level sentiment classification using hybrid machine learning approach. 805-831
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