activity
20042021
most citedAn Optimization Model for Outlier Detection in Categorical Data

58 citations · 244 across the 23 of their papers we have counts for

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Showing cs.AIShow all

7 papers · 1 filter

cs.AI2021★ 1 cited

DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation

Mingyi Liu, Zhiying Tu, Xiaofei Xu +1

An increasing number and diversity of services are available, which result in significant challenges to effective reuse service during requirement satisfaction. There have been man…

cs.AI2020★ 1 cited

User Intention Recognition and Requirement Elicitation Method for Conversational AI Services

Junrui Tian, Zhiying Tu, Zhongjie Wang +2

In recent years, chat-bot has become a new type of intelligent terminal to guide users to consume services. However, it is criticized most that the services it provides are not wha…

cs.AI2007★ 6 cited

Attribute Value Weighting in K-Modes Clustering

Zengyou He, Xaiofei Xu, Shengchun Deng

In this paper, the traditional k-modes clustering algorithm is extended by weighting attribute value matches in dissimilarity computation. The use of attribute value weighting tech…

cs.AI2006

Approximation Algorithms for K-Modes Clustering

Zengyou He

In this paper, we study clustering with respect to the k-modes objective function, a natural formulation of clustering for categorical data. One of the main contributions of this p…

cs.AI2005★ 4 cited

K-ANMI: A Mutual Information Based Clustering Algorithm for Categorical Data

Zengyou He, Xiaofei Xu, Shengchun Deng

Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-ANMI, a new efficient algorithm for clustering…

cs.AI2005★ 31 cited

K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset

Zengyou He, Xiaofei Xu, Shengchun Deng +1

Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-histogram, a new efficient algorithm for clust…