A Four V’s Design Approach of NoSQL Graph Databases
Big Data has been described as a four-dimensional model with Volume, Variety, Velocity, and Veracity. In this paper we...
Leveraging the Dynamic Changes from Items to Improve Recommendation
User-generated reviews contain rich information, which has been ignored by most of recommender systems. Recently, some recommender systems using...
Towards Efficient and Informative Omni-Channel Customer Relationship Management
Nowadays customers expect a seamless interaction with companies throughout all available communication channels. However, many companies rely on different...
Mining Rules with Constants from Large Scale Knowledge Bases
Rules or constraints can be used to clean a knowledge base, or find new facts which should have been...
Concepts in Quality Assessment for Machine Learning – From Test Data to Arguments
There have been active efforts to use machine learning (ML) techniques for the development of smart systems, e.g., driving...
Inductive Discovery by Machine Learning for Identification of Structural Models
Automatic extraction of structural models interferes with the deductive research method in information systems research. Nonetheless it is tempting...
Realtime Event Summarization from Tweets with Inconsistency Detection
The overwhelming amount of event relevant tweets highlights the importance of realtime event summarization systems. When new information emerges,...
CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification
Text classification is one of the fundamental tasks in the field of natural language processing. The CNN-based approaches and...
Learning Restricted Regular Expressions with Interleaving from XML Data
The presence of a schema for XML documents has numerous advantages. However, many XML documents in practice are not...
A Method to Identify Relevant Genome Data: Conceptual Modeling for the Medicine of Precision
The use of techniques such as Next Generation Sequencing increases our knowledge about the genomic risk of suffering a...
