most citedCustomers Behavior Modeling by Semi-Supervised Learning in Customer Relationship Management

27 citations · 116 across the 8 of their papers we have counts for

collaborators

11 papers

cs.IR2012

Semantic Web Requirements through Web Mining Techniques

Hamed Hassanzadeh, Mohammad Reza Keyvanpour

In recent years, Semantic web has become a topic of active research in several fields of computer science and has applied in a wide range of domains such as bioinformatics, life sc…

cs.DB2012

Comparative Evaluation of Data Stream Indexing Models

Mahnoosh Kholghi, MohammadReza Keyvanpour

In recent years, the management and processing of data streams has become a topic of active research in several fields of computer science such as, distributed systems, database sy…

cs.AI2012★ 2 cited

Classification of Approaches and Challenges of Frequent Subgraphs Mining in Biological Networks

Mohammadreza Keyvanpour, Fereshteh Azizani

Understanding the structure and dynamics of biological networks is one of the important challenges in system biology. In addition, increasing amount of experimental data in biologi…

cs.AI2012★ 13 cited

Feature Weighting for Improving Document Image Retrieval System Performance

Mohammadreza Keyvanpour, Reza Tavoli

Feature weighting is a technique used to approximate the optimal degree of influence of individual features. This paper presents a feature weighting method for Document Image Retri…

cs.CV2012★ 9 cited

A New Color Feature Extraction Method Based on Dynamic Color Distribution Entropy of Neighborhoods

Fatemeh Alamdar, MohammadReza Keyvanpour

One of the important requirements in image retrieval, indexing, classification, clustering and etc. is extracting efficient features from images. The color feature is one of the mo…

cs.LG2012★ 27 cited

Customers Behavior Modeling by Semi-Supervised Learning in Customer Relationship Management

Siavash Emtiyaz, MohammadReza Keyvanpour

Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies in this inf…