Xx, month, 2018 1 scalable detection of crowd motion patterns stijn heldens, nelly litvak, maarten van steen ieee senior member abstract studying the movements of crowds is important for understanding and predicting the behavior of large groups of people. Ieee transactions on knowledge and data engineering rg. Ieee xplore, delivering full text access to the worlds highest quality technical literature in engineering and technology. Ieee transactions on knowledge and data engineering, manuscript id 1 distributed line graphs. Such behavior can be described by the periodic distribution vector shown in figure 3, which takes large values at intervals 10. X, x xxxx 2 unlike these approaches, in this paper, we propose a novel topic model for short texts. X, xxxx xxxx 2 problem, new criteria as well as new algorithms are needed. Knowledge and data engineering, ieee transactions on. The ieee transactions on knowledge and data engineering tkde is pub. Zhang are with the department of computer science and engineering, state university of new york at buffalo, 201 bell hall, buffalo, ny 14260. All books are in clear copy here, and all files are secure so dont worry about it.
X, december 2019 1 tensorbased temporal multitask survival analysis ping wang, tian shi and chandan k. C and d compose a strongly connected component in user behavior graph, which re. Ieee transactions on knowledge and data engineering instant. A universal technique for designing dhts based on arbitrary regular graphs. Reddy, senior member, ieee abstractsurvival analysis aims at predicting the time to event of interest along with its probability on longitudinal data. Adomavicius is with the carlson school of management, university of minnesota, 321 19th avenue south, minneapolis, mn 55455. X, xxx 201x 1 online multitask learning framework for ensemble forecasting jianpeng xu, pangning tan, member, ieee, jiayu zhou, and lifeng luo abstractensemble forecasting is a widelyused numerical prediction method for modeling the evolution of nonlinear dynamic systems. X, november 2012 1 a graph derivation based approach for measuring and comparing structural semantics of ontologies yinglong ma, ling liu, senior member, ieee, ke lu, beihong jin, and xiangjie liu abstractontology reuse offers great bene. School of computer science and information engineering, hefei university of. Mining emerging patterns from highdimensional data kui yu1, wei ding2, hao wang1, and xindong wu 1,3 abstractit is a nontrivial taskto build an accurate emerging pattern ep classifier from highdimensional data. Submit to journal directly or download in pdf, ms word or latex.
Ieee transactions on knowledge and data engineering tkde, accepted to appear. Zhu is with the department of computer and information science. Publications department of computer science, hong kong baptist. For example, in market basket transactions data, each transaction is. A deep semisupervised model is proposed to leverage both unlabeled and labeled gps trajectories for predicting transportation modes. An alignment is a set of correspondences between entities belonging to the matched ontologies. Data mining with big data umass boston computer science. Ieee ieee transactions on knowledge and data engineering.
Transaction on knowledge and data engineering, 2010 1 identifying evolving groups in dynamic multimode networks lei tang, member, ieee, huan liu, senior member, ieee, and jianping zhang abstracta multimode network consists of heterogeneous types of actors with various interactions occurring between. Read online ieee transactions on knowledge and data engineering, vol. With the rapid growth of online social platforms and the availability of a high volume of social networking data, studies of. N, january 2019 3 table 1 summarization of related methods. She can select an appropriate level of granularity without a priori needing to specify exactly what constitutes a similar query. Extensive experiments on several real data sets, illustrating the effectiveness and ef. This follows from a similar property of apriorigen 2. Ieee transactions on knowledge and data engineering tkde informs researchers, developers, managers, strategic planners, users, and others interested in. Ieee transactions on knowledge and data engineering 2 the log is summarized. A scalable hypergraph framework wenkai jiang, jianzhong qi, jeffrey xu yu, jin huang, and rui zhangy abstracthypergraphs are generalizations of graphs where the hyperedges can connect any number of vertices. The realtime taxisharing problem consists of a data model, constraints, and an objective function.
Science and engineering, michigan state university, 3115 engineering building, mi 488241226. Transactions on knowledge and data engineering ieee transactions on knowledge and data engineering, vol. Download ieee transactions on knowledge and data engineering, vol. The main idea comes from the answers to the following two questions. Notation t ijis the trust score between user v iand j, v idenotes the neighbors of v i, fis a realvalued function to estimate the trust score of a relationship e iand y iis the label of e i. Y, zzzz 2011 1 a survey of indexing techniques for scalable record linkage and deduplication peter christen abstractrecord linkage is the process of matching records from seve ral databases that refer to the same entities.
Ieee transactions on knowledge and data engineering citations. A survey manish gupta, jing gao, member, ieee, charu c. The authors are with the department of computer science, bren school of information and computer science, university of california at irvine, irvine, ca 92617. Li are with the department of computer science and technology, tsinghua university, beijing, 84, china. With the continuous expansion of data availability in many largescale, complex, and networked systems, such as surveillance, security, internet, and finance, it becomes critical to advance the fundamental understanding of knowledge discovery and analysis from raw data to support decisionmaking processes.
Pdf 2012 index ieee transactions on knowledge and data. X, xxx 200x 1 enhancing data analysis with noise removal hui xiong, member, ieee, gaurav pandey, michael steinbach, member, ieee, and vipin kumar, fellow, ieee abstract removing objects that are noise is an important goal of data cleaning as noise hinders most types of data analysis. Zhu is with the department of computer science, university of vermont, 33 colchester ave. This simple example highlights the need of grammatical knowledge in performing relationship extraction. Transactions on knowledge and data engineering ieee transactions on knowledge and data engineering, no. The primary focus of this article is to study the suitability of three existing query distance metrics, 14, 15 to be. Given two subgraphs g 1 and g 2 in graph g, g 1 is graph isomorphic to g.
Ieee transactions on knowledge and data engineering. Database systems and knowledgebase systems share many common principles. X, x xxxx 1 ranking on data manifold with sink points xueqi cheng, member, ieee, pan du, jiafeng guo, xiaofei zhu, and yixin chen, senior member, ieee abstractranking is an important problem in various applications, such as information retrieval, natural language processing. Notice the clear spokes in top eigenvectors signify the existence of. Ieee transactions on knowledge and data engineering ieee xplore. Elmagarmid is with the department of computer sciences, purdue university, west lafayette, in 47907. Ieee xplore ieee transactions on knowledge and data engineering skip to main content. The ieee transactions on knowledge and data engineering covers artificial intelligence techniques, including speech, voice, graphics, images, and documents. Xiong is with the management science and information systems department, rutgers university, 180 university avenue, newark, nj 07102. Ipeirotis is with the department of information, operations, and management sciences, leonard n. Tuzhilin is with the stern school of business, new york university, 44 west 4th street, new york, ny 10012. Another problem with multilabel learning in practice is that it is hard to get the full annotation of multilabel data, especially when there are a large number of candidate labels. Here, a sortmerge join is preferred because the table instances of each iteration can be kept sorted for the next iteration. Wu is with the department of computer science, university of.
X, september 2019 1 network embedding with completelyimbalanced labels zheng wang, xiaojun ye, chaokun wang, jian cui, and philip s. Ieee transactions on knowledge and data engineering 1 label distribution learning xin geng, member, ieee abstractalthough multilabel learning can deal with many problems with label ambiguity, it does not. Pdf in recent years, edge computing has emerged as a popular mechanism to. Otherwise, the number of length3 candidate sequences would have been. Ieee transactions on knowledge and data engineering, manuscript 1 bridging causal relevance and pattern discriminability. Eeplots showing the scores of nodes in the ith eigenvector ui vs. Embedded ic 23 followed the pairwise independence assumption in ic model and modeled the diffusion probability between. Notice that a priori does cut a substantial amount of search space. Aggarwal, fellow, ieee, and jiawei han, fellow, ieee abstractin the statistics community, outlier detection for time series data has been studied for decades. A survey on transfer learning department of computer science. Wu is with the school of computer science and information engineering, hefei university of technology, china, and the department of computer science, university of vermont x. Han is with the department of computer science, university of illinois. This article has been accepted for publication in a future issue of this journal, but has not.
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