The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …

The diagnosis of bankruptcy companies becomes extremely important for business owners,
banks, governments, securities investors, and economic stakeholders to optimize the …

The recent technology innovation such as big data and its applications has been adopted
widely in industries in order to deal with massive datasets. Through data integration, data …

This paper provides a short overview of space–time series clustering, which can be
generally grouped into three main categories such as: hierarchical, partitioning-based, and …

Modern e-businesses heavily rely on advanced data analytics for product recommendations.
However, there are still untapped opportunities to enhance user interfaces. Currently, online …

Infrared ship segmentation is extensively applied in military fields. Due to noise and intensity
inhomogeneity, the segmentation of infrared ship is a challenging task. The fuzzy c-means …

Understanding the purchase likelihood of potential buyers is an important prerequisite for
marketers to carry out targeted marketing. Massive authentic and personalized user …

In recent years, subspace clustering and multi-task clustering have received extensive
attention due to their wide practical applications. Traditional subspace clustering is limited to …

Clustering plays an essential role in machine learning and data mining. Many real-world
datasets for clustering are often different but related in the big data era. Recent research …

Finding customer groups from transaction data is very important for retail and e-commerce
companies. Recently, a “Purchase Tree” data structure is proposed to compress the …