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ACM Transactions on Intelligent Systems and Technology (TIST), Volume 8 Issue 3, February 2017



Section: Special Issue: Mobile Social Multimedia Analytics in the Big Data Era

Event Classification in Microblogs via Social Tracking
Yue Gao, Hanwang Zhang, Xibin Zhao, Shuicheng Yan
Article No.: 35
DOI: 10.1145/2967502

Social media websites have become important information sharing platforms. The rapid development of social media platforms has led to increasingly large-scale social media data, which has shown remarkable societal and marketing values. There are...

Exploiting Social-Mobile Information for Location Visualization
Jitao Sang, Quan Fang, Changsheng Xu
Article No.: 39
DOI: 10.1145/3001594

With a smart phone at hand, it becomes easy now to snap pictures and publish them online with few lines of texts. The GPS coordinates and User-Generated Content (UGC) data embedded in the shared photos provide opportunities to exploit important...

Section: Special Issue: Mobile Social Multimedia Analytics in the Big Data Era

Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification
Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
Article No.: 41
DOI: 10.1145/2983921

The queries issued to search engines are often ambiguous or multifaceted, which requires search engines to return diverse results that can fulfill as many different information needs as possible; this is called search result...

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
Article No.: 42
DOI: 10.1145/2987378

Matrix factorization is a useful technique for data representation in many data mining and machine learning tasks. Particularly, for data sets with all nonnegative entries, matrix factorization often requires that factor matrices be nonnegative,...

Learning k for kNN Classification
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng
Article No.: 43
DOI: 10.1145/2990508

The K Nearest Neighbor (kNN) method has widely been used in the applications of data mining and machine learning due to its simple implementation and distinguished performance. However, setting all test data with the same k value in...

A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval
Peng Zhang, Qian Yu, Yuexian Hou, Dawei Song, Jingfei Li, Bin Hu
Article No.: 46
DOI: 10.1145/2994608

In many research and application areas, such as information retrieval and machine learning, we often encounter dealing with a probability distribution that is mixed by one distribution that is relevant to our task in hand and the other that is...

Daehr: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders
Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes
Article No.: 47
DOI: 10.1145/3007195

Electronic health records (EHR) provide a rich source of temporal data that present a unique opportunity to characterize disease patterns and risk of imminent disease. While many data-mining tools have been adopted for EHR-based disease early...