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Journal of Intelligent Information Systems

Integrating Artificial Intelligence and Database Technologies

Journal of Intelligent Information Systems OnlineFirst articles


Genre based hybrid filtering for movie recommendation engine

With the dramatic rise of internet users in the last decade, there has been a massive rise in the number of daily web searches. This leads to a plethora of data available online, which is growing by the days. A recommendation engine leverages this …


SDDM: an interpretable statistical concept drift detection method for data streams

Machine learning models assume that data is drawn from a stationary distribution. However, in practice, challenges are imposed on models that need to make sense of fast-evolving data streams, where the content of data is changing and evolving over …


Topic modeling for sequential documents based on hybrid inter-document topic dependency

We propose two new topic modeling methods for sequential documents based on hybrid inter-document topic dependency. Topic modeling for sequential documents is the basis of many attractive applications such as emerging topic clustering and novel …


On exploring feature representation learning of items to forecast their rise and fall in social media

User-item interactions in social media provide a rich dataset for wide applications such as viral marketing and recommender systems. Post retweeting behaviors and venue check-in events by users are the most representative. While existing studies …


Compact representations for efficient storage of semantic sensor data

Nowadays, there is a rapid increase in the number of sensor data generated by a wide variety of sensors and devices. Data semantics facilitate information exchange, adaptability, and interoperability among several sensors and devices. Sensor data …

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The Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies (JIIS) focuses on the integration of artificial intelligence and database technologies to create next generation information systems - Intelligent Information Systems.

JIIS provides a forum wherein academics, researchers and practitioners may publish high-quality, original and state-of-the-art papers describing theoretical aspects, systems architectures, analysis and design tools and techniques, and implementation experiences in intelligent information systems. Articles published in JIIS include: research papers, invited papers, meeting, workshop and conference announcements and reports, survey and tutorial articles, and book reviews.

Topics include foundations and principles of data, information, and knowledge models; methodologies for IIS analysis, design, implementation, validation, maintenance and evolution, and more.

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