4.6 Article

Predicting Influential Blogger's by a Novel, Hybrid and Optimized Case Based Reasoning Approach With Balanced Random Forest Using Imbalanced Data

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Influence Analysis in Evolving Networks: A Survey

Yu Yang et al.

Summary: Influence analysis aims at detecting influential vertices in networks and utilizing them in cost-effective strategies. As networks evolve, incorporating network evolution into influence analysis presents new challenges. Researchers need to consider the rapid changes in networks and the incomplete understanding of network evolution by people.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)

Article Computer Science, Theory & Methods

Community-Centric Brokerage-Aware Access Control for Online Social Networks

Yousra Asim et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Article Computer Science, Artificial Intelligence

Autonomic performance prediction framework for data warehouse queries using lazy learning approach

Basit Raza et al.

APPLIED SOFT COMPUTING (2020)

Review Computer Science, Artificial Intelligence

Influential nodes detection in dynamic social networks: A survey

Nesrine Hafiene et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Artificial Intelligence

Text Mining in Big Data Analytics

Hossein Hassani et al.

BIG DATA AND COGNITIVE COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Text analytics for big data using rough-fuzzy soft computing techniques

Mohammed Al-Maitah

EXPERT SYSTEMS (2019)

Article Computer Science, Theory & Methods

Identifying Top-k Nodes in Social Networks: A Survey

Ranran Bian et al.

ACM COMPUTING SURVEYS (2019)

Article Computer Science, Information Systems

A Classification Model For Class Imbalance Dataset Using Genetic Programming

Mirza Amaad Ul Haq Tahir et al.

IEEE ACCESS (2019)

Article Information Science & Library Science

A trust model for analysis of trust, influence and their relationship in social network communities

Yousra Asim et al.

TELEMATICS AND INFORMATICS (2019)

Article Computer Science, Hardware & Architecture

Significance of machine learning algorithms in professional blogger's classification

Yousra Asim et al.

COMPUTERS & ELECTRICAL ENGINEERING (2018)

Article Telecommunications

Influence maximization by probing partial communities in dynamic online social networks

Meng Han et al.

TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES (2017)

Article Computer Science, Artificial Intelligence

Maximizing micro-blog influence in online promotion

Feng Li et al.

EXPERT SYSTEMS WITH APPLICATIONS (2017)

Review Psychology, Multidisciplinary

Modelling to identify influential bloggers in the blogosphere: A survey

Hikmat Ullah Khan et al.

COMPUTERS IN HUMAN BEHAVIOR (2017)

Article Computer Science, Information Systems

The Minkowski approach for choosing the distance metric in geographically weighted regression

Binbin Lu et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2016)

Article Computer Science, Theory & Methods

A Survey of Predictive Modeling on Im balanced Domains

Paula Branco et al.

ACM COMPUTING SURVEYS (2016)

Article Computer Science, Cybernetics

The effects of reading and writing habits on blog adoption

Benazir Quadir et al.

BEHAVIOUR & INFORMATION TECHNOLOGY (2015)

Article Computer Science, Artificial Intelligence

A method for resampling imbalanced datasets in binary classification tasks for real-world problems

Silvia Cateni et al.

NEUROCOMPUTING (2014)

Article Computer Science, Information Systems

Sex, blogs, and baring your soul: Factors influencing UK blogging strategies

Chris Fullwood et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2013)

Article Computer Science, Information Systems

Who blogs what: understanding the publishing behavior of bloggers

Kang Zhao et al.

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2013)

Review Computer Science, Artificial Intelligence

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

Mikel Galar et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)

Article Computer Science, Interdisciplinary Applications

Factors influencing secondary school teachers' adoption of teaching blogs

Hui-Min Lai et al.

COMPUTERS & EDUCATION (2011)

Article Computer Science, Cybernetics

Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data

Taghi M. Khoshgoftaar et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2011)

Article Computer Science, Interdisciplinary Applications

An empirical study of modeling self-management capabilities in autonomic systems using case-based reasoning

Malik Jahan Khan et al.

SIMULATION MODELLING PRACTICE AND THEORY (2011)

Article Computer Science, Cybernetics

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

Chris Seiffert et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2010)

Article Computer Science, Artificial Intelligence

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy

Salvador Garcia et al.

EVOLUTIONARY COMPUTATION (2009)

Article Computer Science, Artificial Intelligence

Facetwise Analysis of XCS for Problems With Class Imbalances

Albert Orriols-Puig et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)

Review Computer Science, Artificial Intelligence

Learning from Imbalanced Data

Haibo He et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)

Article Statistics & Probability

Boosting algorithms:: Regularization, prediction and model fitting

Peter Buehlmann et al.

STATISTICAL SCIENCE (2007)