Big data streams mark a new era in artificial intelligence and the data mining literature. Video and voice streams have grown rapidly in recent years. A single lab–based human–computer interaction experiment with one human subject collecting Cognitive, Physiological, and other data can easily generate a few terabytes of data in a single hour; growing rapidly to a Petabyte within a timeframe les...

Sentiment Analysis (SA) or Opinion Mining is the process of analysing natural language texts to detect an emotion or a pattern of emotions towards a certain product to make a decision about that product. SA is a topic of text mining, Natural Language Processing (NLP) and web mining disciplines. Research in SA is currently at its peak given the amount of data generated from social media networks...

In this Editorial I want to comment on eight recent articles that can help us to better understand still controversial matters related to total knee arthroplasty (TKA). In this Editorial I want to comment on eight recent articles that can help us to better understand still controversial matters related to total knee arthroplasty (TKA).

An enhanced cascading failure model integrating data mining technique is proposed in this paper. In order to better simulate the process of cascading failure propagation and further analyze the relationship between failure chains, in view of a basic framework of cascading failure described in this paper, some significant improvements in emerging prevention and control measures, the subsequent f...

Rohitvarma Basavaraju∗ and David A. Lowe† Department of Physics, Brown University, Providence, RI 02912, USA (Dated: November 8, 2016) Abstract We consider the possibility of mining black holes in the 1+1-dimensional dilaton gravity model of Russo, Susskind and Thorlacius. The model correctly incorporates Hawking radiation and backreaction in a semiclassical expansion in 1/N , where N is the nu...

With the growing popularity of opinion-rich resources on the Web, new opportunities and challenges arise and aid people in actively using such information to understand the opinions of others. Opinion mining process currently focuses on extracting the sentiments of the users on products, social, political and economical issues. In many instances, users not only express their sentiments but also...

Online user comments contain valuable user opinions. Comments vary greatly in quality and detecting high quality comments is a subtask of opinion mining and summarization research. Finding attentive comments that provide some reasoning is highly valuable in understanding the user’s opinion particularly in sociopolitical opinion mining and aids policy makers, social organizations or government s...

Customer relationship management (CRM) comprises a set of processes and enabling systems supporting a business strategy to build long term, profitable relationships with specific customers. Customer data and information technology (IT) tools form the foundation upon which any successful CRM strategy is built. In addition, the rapid growth of the Internet and its associated technologies has grea...

The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson can reflect students’ learning attitudes, tendencies and learning activities involved with the lesson. In this research, Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic Analysis (pLSA) are employed to predict student ...