Ieee transactions on knowledge and data engineering, manuscript id 1 document summarization for answering nonfactoid queries evi yulianti, rueycheng chen, falk scholer, w. Han is with the department of computer science, university of illinois. Li are with the department of computer science and technology, tsinghua university, beijing, 84, china. Mining asynchronous periodic patterns in time series data. Submit to journal directly or download in pdf, ms word or latex. Then perhaps you have the dna of a knowledge engineer. The optimization of conjunctive predicates is still. Eeplots showing the scores of nodes in the ith eigenvector ui vs. This transactions provides an international and interdisciplinary forum to communicate results of new developments in knowledge and data engineering and the. Transactions on knowledge and data engineering 1 decision. To address the limitations of exiting methods on embedding bipartite networks, we devise a new solution for learning vertex representation in bipartite networks, namely. Transactions on knowledge and data engineering ieee transactions on knowledge and data engineering, vol. Transactions on knowledge and data engineering ieee transactions on knowledge and data engineering, submission 2018 2 larity model fism, which represents an item as an embedding vector and models the similarity between two items as the inner product of their embedding vectors. Xx, sept 2017 1 a comprehensive survey of graph embedding.
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. Ieee transactions on knowledge and data engineering 1 fast. In the general case of infinite and continuous time domains, these are finite unions of rectangles in the twodimensional space spanned by valid and transaction time. Ieee transactions on knowledge and data engineering instant. Zheng, and kevin chenchuan chang abstractgraph is an important data representation which appears in a wide diversity of realworld scenarios. Delivering full text access to the worlds highest quality technical literature in engineering and technology. Index termsdata science, knowledge discovery, domain knowledge, scientific theory, physical consistency. Ieee transactions on knowledge and data engineering rg. A general framework for transfer learning mingsheng long, jianmin wang, guiguang ding, sinno jialin pan, and philip s. When a link e0 is added at time t0, at each time slot. Ieee transactions on knowledge and data engineering, institute of electrical and electronics engineers transactions on knowledge and data engineering, transactions on knowledge and data. Tseng, longbing cao and roger nkambou abstractsequential rule mining is an important data mining problem with multiple applications. Ieee transactions on knowledge and data engineering 1 fast besteffort search on graphs with multiple attributes senjuti basu roy, university of washington tacoma, tina eliassirad, rutgers university, spiros papadimitriou, rutgers university abstractwe address the problem of search on graphs with multiple nodal attributes.
A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. The diffusion process of the fcm model unfolds in discrete steps according to the following stochastic rule. Data mining and machine learning technologies have already achieved significant success in many knowledge engineering areas including classification, regression, and clustering e. Authors share the datasets from your published papers with ieee dataport ieee dataport is an easily accessible data platform that enables users to store, search, access and manage research data. Joshi is with the university of pittsburgh, room 721, sis building, 5. Mining and monitoring evolving data venkatesh ganti, johannes gehrke, and raghu ramakrishnan abstractdata mining algorithms have been the focus of much research recently. Ieee transactions on knowledge and data engineering 1 online. Abstractwith 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 supportdecisionmaking processes. Elmagarmid is with the department of computer sciences, purdue university, west lafayette, in 47907. Members support ieee s mission to advance technology for humanity and the profession, while memberships build a platform to introduce careers in technology to students around the world.
Zaki, member, ieee abstractassociation rule discovery has emerged as an important problem in knowledge discovery and data mining. Ieee transactions on knowledge and data engineering ieee t knowl data en. Ieee transactions on knowledge and data engineering 3 ddd 5 is a special type of drift detection method that keeps old ensembles while they are useful. The ieee transactions on knowledge and data engineering is an archival journal published monthly. Ieee transactions on knowledge and data engineering, 2019 1 generative adversarial active learning for unsupervised outlier detection yezheng liu, zhe li, chong zhou, yuanchun jiang, jianshan sun, meng wang and xiangnan he abstractoutlier detection is an important topic in machine learning and has been used in a wide range of applications. Ieee transactions on knowledge and data engineering volume. Ieee transactions on knowledge and data engineering 1 mining. X, jan 2020 1 understanding and optimizing conjunctive predicates under memoryef. In practice, the input data to a data mining process.
A deep semisupervised model is proposed to leverage both unlabeled. Jin huang 6 proposed a model that integrates the rnnbased networks. Upload your datasets today for any new or previously published ieee articles. Ieee transactions on knowledge and data engineering, manuscript id 1 development of a software engineering ontology for multisite software development pornpit wongthongtham, elizabeth chang, tharam dillon and ian sommerville abstract this paper aims to present an ontology model of software engineering to represent its knowledge.
Generative adversarial active learning for unsupervised. C and d compose a strongly connected component in user behavior graph, which re. Being a germ of representation learning, 14, fism provides. Since objects with different types coexist in the same network, their relevance measure is possible through link structure. Ieee transactions on knowledge and data engineering. Pramanik are with the department of computer science and engineering, michigan state university, 3115 engineering building, mi 488241226. Ieee transactions on knowledge and data engineering tkde, accepted to appear. Aug 27, 2017 the scope includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. The information published in this transactions is designed to inform researchers, developers, managers, strategic planners, users, and others interested in stateoftheart and stateofthepractice activities in the knowledge and data engineering. In realworld applications, it is often desirable to determine the. A survey manish gupta, jing gao, member, ieee, charu c.
Ieee transactions on knowledge and data engineering, submission 2019 1 network transfer learning via adversarial domain adaptation with graph convolution quanyu dai, xiao shen, xiaoming wu, and dan wang abstractthis paper studies the problem of crossnetwork node classi. The ieee transactions on knowledge and data engineering covers artificial intelligence techniques, including speech, voice, graphics, images, and documents. Graph compression and mining beyond caveman communities yongsub lim, u kang, and christos faloutsos abstractgiven a real world graph, how should we layout its edges. Ieee transactions on knowledge and data engineering 3 x 0x 1x 2x 3x 4x c fig. Xxx, xxx xxx 1 discriminationaware projected matrix factorization xuelong li, fellow, ieee, mulin chen, and qi wang, senior member, ieee abstractnonnegative matrix factorization nmf has been one of the most popular clustering techniques in machine leaning, and. Pei is with the department of computer science and engineering, state university of new york at buffalo, 201 bell hall, buffalo, ny 142602000. Ieee transactions on knowledge and data engineering 1 slashburn. Scalable algorithms for association mining knowledge and. Ieee ieee transactions on knowledge and data engineering. Protecting respondents identities in microdata release knowledge. Open knowledge foundation freier datenjournalist, data engineering im newsroom.
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. Ieee transactions on knowledge and data engineering tkde informs researchers, developers, managers, strategic planners, users, and others interested in stateoftheart and stateofthepractice activities in the knowledge and data engineering area. Phan, aixin sun, yi tay, jialong han, and chenliang li. However, in many realworld applications, this assumption may not hold. Suppose we then double the sample space by testing more patients, and suppose further that the distribution 1264 ieee transactions on knowledge and data engineering, vol. Bastani, member, ieee, and tawei tsao abstract we define the reliability of a realtime system in. Ieee transaction on knowledge and data engineering 1 finegrained urban flow inference kun ouyang, yuxuan liang, ye liu, zekun tong, sijie ruan, yu zheng, senior member, ieee and david s. However, ddd can only keep old ensembles corresponding to one of the previous concepts. Ieee transactions on knowledge and data engineering guide 2. Adomavicius is with the carlson school of management, university of minnesota, 321 19th avenue south, minneapolis, mn 55455.
Database systems and knowledgebase systems share many common principles. Knowledge and data engineering, ieee transactions on. Publications department of computer science, hong kong baptist. 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. Rosenblum, fellow, ieee abstractthe ubiquitous deployment of monitoring devices in urban. Therefore, in the case of class evolution, ddd will also forget information when more. Mining asynchronous periodic patterns in time series data jiong yang, wei wang, and philip s. Li is with the school of computer and information science, university of. Xxx, 2012 3 node is hit very frequently by random walks, then the node will have a high personalized pagerank score. With the rapid growth of online social platforms and the availability of a high volume of social networking data, studies of. Such behavior can be described by the periodic distribution vector shown in figure 3, which takes large values at intervals 10. Problems, techniques and applications hongyun cai, vincent w. An alignment is a set of correspondences between entities belonging to the matched ontologies.
Efficient tree structures for high utility pattern mining in incremental databases chowdhury farhan ahmed, syed khairuzzaman tanbeer, byeongsoo jeong, and youngkoo lee,member, ieee abstractrecently, high utility pattern hup mining is one of the most important research issues in data mining due to its ability to. In a word, the major trouble of lda and mixture of unigrams lies in modeling the short documents improperly. For this particular example, our method detects two opposing movement streams. Ieee transactions on knowledge and data engineering 2006 18 8 1055 1067 in medical diagnosis, doctors must often determine what medical tests e. Ieee transactions on knowledge and data engineering 1 mining partiallyordered sequential rules common to multiple sequences philippe fournierviger, chengwei wu, vincent s. Pdf 2012 index ieee transactions on knowledge and data. Ieee transactions on knowledge and data engineering, submission 2018 2 limit the the information of vertices with high degree and oversample vertices with low degree. Yu,fellow, ieee abstractperiodicy detection in time series data is a challenging problem of great importance in many applications. It is also noteworthy that most supervised methods evaluate link prediction algorithms by using only a sample of test links because of computational consideration. Aggarwal, fellow, ieee, and jiawei han, fellow, ieee abstractin the statistics community, outlier detection for time series data has been studied for decades. Ieee membership offers access to technical innovation, cuttingedge information, networking opportunities, and exclusive member benefits. Ieee transactions on knowledge and data engineering 1 spatial approximate string search feifei li member, ieee, bin yao, mingwang tang, marios hadjieleftheriou abstractthis work deals with the approximate string search in large spatial databases. Tuzhilin is with the stern school of business, new york university, 44 west 4th street, new york, ny 10012.
In this paper, we study the relevance search problem in heterogeneous information networks. Ieee transactions on knowledge and data engineering ieee websites place cookies on your device to give you the best user experience. Ieee transactions on knowledge and data engineering tkde informs researchers, developers, managers, strategic planners, users, and others interested in stateoftheart and stateofthepractice. The association mining task consists of identifying the frequent itemsets and then, forming conditional implication rules among them. Transactions on knowledge and data engineering 1 decision trees for uncertain data smith tsang yben kao kevin y. Scalable algorithms for association mining mohammed j. Ieee transactions on knowledge and data engineering, accepted in 2018 1 pairlinking for collective entity disambiguation.
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