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Journal of Intelligent Information Systems OnlineFirst articles


Social recommender systems: techniques, domains, metrics, datasets and future scope

With the evolution of social media, an enormous amount of information is shared every day. Recommender systems contribute significantly in handling big data and presenting relevant information, services and items to people. A substantial number of …

Jyoti Shokeen, Chhavi Rana


JIIS special issue preface

The recent rapid growth and use of connected objects leads to the emergence of virtual environments composed of multiple and independent entities such as individuals, organizations, services, software and applications sharing one or several …

Richard Chbeir, Nicolas Spyratos


Causal inference for social discrimination reasoning

The discovery of discriminatory bias in human or automated decision making is a task of increasing importance and difficulty, exacerbated by the pervasive use of machine learning and data mining. Currently, discrimination discovery largely relies …

Bilal Qureshi, Faisal Kamiran, Asim Karim, Salvatore Ruggieri, Dino Pedreschi


A utility based approach for data stream anonymization

Data streams are good models to characterize dynamic, on-line, fast and high-volume data requirements of today’s businesses. However, sensitivity of data is usually an obstacle for deployment of many data streams applications. To address this …

Ugur Sopaoglu, Osman Abul


A novel multi-strategy DE algorithm for parameter optimization in support vector machine

Support vector machine (SVM) is a powerful technique in pattern classification, but its performance is highly dependent on its parameters. In this paper, a new SVM optimized by a novel differential evolution (DE) with a hybrid parameter setting …

Kangjing Li, Jiaxiang Luo, Yueming Hu, Shipeng Li


WebKey: a graph-based method for event detection in web news

With rapid and vast publishing of news over the Internet, there is a surge of interest to detect underlying hot events from online news streams. There are two main challenges in event detection: accuracy and scalability. In this paper, we propose …

Elham Rasouli, Sajjad Zarifzadeh, Amir Jahangard Rafsanjani


Unsupervised tag recommendation for popular and cold products

The rapid expansion of the Internet and its connectivity has given tremendous growth to e-commerce sites. Product reviews form an indispensable part of e-commerce sites. However, it is challenging and laborious to go through hundreds of reviews.

Anand Konjengbam, Nagendra Kumar, Manish Singh


Study of parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications

To overcome of the high cost of developing IoT (Internet of Things) services by vertically integrating devices and services, Open IoT has been developed to enable various IoT services to be developed by integrating horizontally separated devices …

Yoji Yamato


Skyline-based dissimilarity of images

Large image collections are being used in many modern applications. In this paper, we aim at capturing the intrinsic dissimilarities of image descriptors in large image collections, i.e., to detect dissimilar (or else diverse) images without …

Nikolaos Georgiadis, Eleftherios Tiakas, Yannis Manolopoulos, Apostolos N. Papadopoulos


A scaled-MST-based clustering algorithm and application on image segmentation

Minimum spanning tree (MST)-based clustering is one of the most important clustering techniques in the field of data mining. Although traditional MST-based clustering algorithm has been researched for decades, it still has some limitations for …

Jia Li, Xiaochun Wang, Xiali Wang


Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resources

Today, most information sources provide factual, objective knowledge, but they fail to capture personalized contextual knowledge which could be used to enrich the available factual data and contribute to their interpretation, in the context of the …

Giacomo Cavallo, Francesco Di Mauro, Paolo Pasteris, Maria Luisa Sapino, K. Selcuk Candan


Hollow-tree: a metric access method for data with missing values

Similarity search is fundamental to store and retrieve large volumes of complex data required by many real world applications. A useful mechanism for such concept is the query-by-similarity. Based on their topological properties, metric similarity …

Safia Brinis, Caetano Traina Jr., Agma J. M. Traina


Business information architecture for successful project implementation based on sentiment analysis in the tourist sector

In the today’s market, there is a wide range of failed IT projects in specialized small and medium-sized companies because of poor control in the gap between the business and its vision. In other words, acquired goods are not being sold, a …

Gianpierre Zapata, Javier Murga, Carlos Raymundo, Francisco Dominguez, Javier M. Moguerza, Jose Maria Alvarez


Safe disassociation of set-valued datasets

Disassociation is a bucketization based anonymization technique that divides a set-valued dataset into several clusters to hide the link between individuals and their complete set of items. It increases the utility of the anonymized dataset, but …

Nancy Awad, Bechara Al Bouna, Jean-Francois Couchot, Laurent Philippe


IncompFuse: a logical framework for historical information fusion with inaccurate data sources

We propose a novel framework, called IncompFuse, that significantly improves the accuracy of existing methods for reconstructing aggregated historical data from inaccurate historical reports. IncompFuse supports efficient data reliability …

Jiawei Xu, Vladimir Zadorozhny, John Grant


A framework for aspect based sentiment analysis on turkish informal texts

The web provides a suitable media for users to share opinions on various topics, including consumer products, events or news. In most of such content, authors express different opinions on different features (i.e., aspects) of the topic. It is a …

Pinar Karagoz, Batuhan Kama, Murat Ozturk, I. Hakki Toroslu, Deniz Canturk


A grammar inference approach for language self-adaptation and evolution in digital ecosystems

Socialization is the essential building process of any society in natural ecosystems. Effective socialization processes have been investigated for both “biotic” (human) and “abiotic” (virtual) entities, also within digital ecosystems in the …

Fernando Ferri, Arianna D’Ulizia, Patrizia Grifoni


Holistic primary key and foreign key detection

Primary keys (PKs) and foreign keys (FKs) are important elements of relational schemata in various applications, such as query optimization and data integration. However, in many cases, these constraints are unknown or not documented. Detecting …

Lan Jiang, Felix Naumann


Automatic keyphrase extraction: a survey and trends

Due to the exponential growth of textual data and web sources, an automatic mechanism is required to identify relevant information embedded within them. The utility of Automatic Keyphrase Extraction (AKPE) cannot be overstated, given its …

Zakariae Alami Merrouni, Bouchra Frikh, Brahim Ouhbi


Next-generation heartbeat classification with a column-store DBMS and UDFs

We live in a digital world where data is being generated at an always increasing rate. This creates the need to develop new technology not only for storing these vast amounts of data, but also for manipulating and analyzing it. It is through this …

Oscar Castro-Lopez, Daniel E. Lopez-Barron, Ines F. Vega-Lopez