4944
0
0
2014-06-21 17:27:59
2014-06-21
信息來源：www.1061937.com/team/VLDBSS
VLDB中國數(shù)據(jù)庫學(xué)院 【VLDB Database School (China)】
2014年暑期學(xué)校招生簡(jiǎn)章
2014年7月7日~ 7月12日 中國 ? 北京
學(xué)院的宗旨是：充分利用VLDB的資源，通過組織暑期學(xué)校等形式，邀請(qǐng)國際知名數(shù)據(jù)庫學(xué)者來中國講學(xué)，為我國數(shù)據(jù)庫及相關(guān)領(lǐng)域的研究生、青年教師和工程技術(shù)人員提供一個(gè)集中學(xué)習(xí)和交流的平臺(tái)，促進(jìn)我們對(duì)國際數(shù)據(jù)庫學(xué)科前沿全面及時(shí)的了解，并在此前提下，立足應(yīng)用研發(fā)具有特色的數(shù)據(jù)管理技術(shù)和系統(tǒng)。
2014年課程由中國人民大學(xué)信息學(xué)院承辦，本期暑期學(xué)校的主題為“Mobile Computing and Location-Based Services”。主講教授是國際上享有很高學(xué)術(shù)聲譽(yù)的數(shù)據(jù)庫專家：丹麥奧爾堡大學(xué)教授現(xiàn)任TODS的主編 Christian Jensen、美國喬治亞理工學(xué)院教授劉伶和微軟亞洲研究院研究員謝幸博士。我們熱忱歡迎全國各地從事數(shù)據(jù)庫研究的高年級(jí)研究生、青年教師和工程技術(shù)人員報(bào)名參加。
組織機(jī)構(gòu):
VLDB 中國數(shù)據(jù)庫學(xué)院
院 長：周傲英 教授（華東師范大學(xué)）
副院長：李戰(zhàn)懷 教授（西北工業(yè)大學(xué)） 王國仁 教授（東北大學(xué)）
本期組委會(huì):
學(xué)術(shù)委員會(huì)主席：周傲英 教授（華東師范大學(xué)） 杜小勇 教授（中國人民大學(xué)）
組織委員會(huì)主席：李翠平 教授（中國人民大學(xué)）
課程安排:
日 期：2014年7月7日至7月12日
主 題：Mobile Computing and Location-Based Services
授課地點(diǎn)：中國人民大學(xué)（北京市海淀區(qū)中關(guān)村大街59號(hào)）
課程簡(jiǎn)介:
1. Course title: Data ManagementFoundations for Location-Based Services
Courseinstructor: Christian Jensen, Professor at Aalborg University, Denmark
Courseabstract:
An increasingly sophisticated infrastructure that encompasses geo-positioningcapabilities and Internet-worked mobile computing devices is becoming availableto rapidly growing numbers of users. Concurrently, the research community has inventedfoundations that enable location-based services that exploit thisinfrastructure. Such services may concern emergency management, transportation,information and social needs, and games, to name but a few possibilities.
These two half-day lectures aim to present an overview of selected datamanagement foundations for location-based services. In this setting, thelocation of a mobile object is captured by a trajectory, which is a functionfrom time to points in the Euclidean, spatial-network, or indoor space in whichthe movement occurs.Tracking denotes the process of using a positioning systemfor continuously maintaining an up-to-date representation of a (partial) trajectoryof an object. Prediction relates to aspects of the future trajectories ofobjects. Systems underlying location-based services may be subject to workloadsthat involve frequent updates as well as queries. This calls for efficientupdate as well as query processing techniques, and this in turn calls forefficient indexing techniques. A numberof such techniques have been proposed that are based on the R-tree and the B-tree.These techniques differ in how they contend with skew and other properties ofthe problem domain.
The following topics are planned: 1. Motivation; 2. Tracking androute prediction; 3. Indexing: bottom-up updates, the TPR-tree family, and theBx-tree family; 4. Indoor data management techniques: modeling, trajectories,and query processing
2. Course Title: (1) Spatial Alarms:Architectures and Algorithms
(2) Privacy Challenges in MobileComputing and Location Based Services
(3)Trajectory Mining: From subtrajectories, whole trajectories toTrajectory Patterns
Course Instructor: Ling Liu, Professor at Georgia Institute ofTechnology, USA
Course abstract:
(1) Spatial alarms are one of the fundamental capabilities forenabling personalization of location-based services (LBSs), especiallylocation-based advertisement, location based entertainment and location basedinformation dissemination. In this lecture, I will describe the alternativearchitectures and algorithms for scaling spatial alarm processing. We willcover three types of system architectural design: client-centric architecture,client-server architecture, and distributed architecture. The algorithms andoptimization techniques for efficient processing of spatial alarms include saferegion techniques for optimizing client energy efficiency, server loads, andnetwork bandwidth efficiency. For example, in a distributed architecture, Iwill describe the fundamentals of safe region-based processing and discuss thesuite of techniques for optimal distribution of partial alarm processing tasksfrom the server to the mobile clients while minimizing unnecessary alarmevaluations at both server and mobile clients. I will also describe differentsafe region computation algorithms to explore the impact of size and shape ofthe safe region on network bandwidth, server load and client energyconsumption. The development of these alternative safe region computationtechniques is critical for supporting client device heterogeneity and scalingspatial alarm processing.
(2) We are entering the mobile Internet era wherepeople, vehicles, and hand-held devices are connected at all times. Locationbecomes a piece of important information for real-time information access,on-demand service discovery and delivery, as well as continuous andpersonalized service provision. In location-based services, there areconceivably two types of location privacy - personal subscriber level privacyand corporate enterprise-level privacy. Companies need enterprise-level privacyto preserve corporate secrets and maintain competitive edge. Location privacyhas attracted attention in mobile computing, mobile data management, and wirelesscommunication research over the past few years. Most of the location privacysolutions try to prevent disclosure of unauthorized location information bytechniques that explicitly or implicitly control what and how locationinformation is given to whom and when. In this lecture, I will give an overviewof location privacy research and discuss three categories of location privacyprotection techniques: (1) Location protection through user-defined orsystem-supplied privacy policies; (2) Location protection through locationanonymization, a system capability to obfuscate the location information suchthat a state of a subject is not identifiable within the anonymity set; and (3)Location protection through pseudonymity of user identities, which uses an internalpseudonym rather than the user’s actual identity. I will also describe theintrinsic relationships among location privacy, location utility, andpersonalization. My lecture will end with a list of open issues and technicalchallenges in location privacy research.
(3) Mining mobile object trajectory datasets has been gainingsignificant interest in recent years. We can broadly classify the existingresearch into three categories: mining subtrajectories of mobile objects,mining whole trajectories of mobile objects, and mining trajectory patterns ofmobile objects. Density and Euclidean distance measures are commonly used bymost of existing approaches to trajectory mining. In this lecture, we show thatwhen the utility of mining mobile objecttrajectories is targeted at road network aware location based applications,density and Euclidean distance are no longer the effective measures. This isbecause traffic flows in a road network and the flow-based densitycharacterization become important factors for finding interesting trajectoryclusters of mobile objects travelling on road networks. I will describe one ortwo technical approaches under each of the three categories mentioned above.For example, by taking into account the physical constraints of the roadnetwork, the network proximity and the traffic flows among consecutive roadsegments, the trajectory mining can produe groups of sub-trajectories thatdescribe both dense and highly continuous traffic flows of mobile objects. Iwill discuss the technical challenges in mining sparial trajectories.
3. Course Title: Understanding from LargeScale Human Behavioral Data
Course Instructor: Xing Xie博士, MSRA(微軟亞洲研究院)研究員
Courseabstract:
With the rapid development of positioning, sensor and smart devicetechnologies, large quantities of human behavioral data are now readilyavailable. They reflect various aspects of human mobility and activities in thephysical world. The availability of this data presents an unprecedentedopportunity to gain a more in depth understanding of users and provide themwith personalized online experience while respecting their privacy. In thiscourse, I will present a number of our recent research efforts on thisdirection, including user mobility understanding and prediction, location andactivity recommendation, user linking across multiple networks, psychologicaltrait inference, life pattern analysis, and driving behavior understanding.
報(bào)名須知
1.本年度計(jì)劃招收學(xué)員100名。
2.學(xué)員錄取由VLDB 中國數(shù)據(jù)庫學(xué)院負(fù)責(zé)，將根據(jù)申請(qǐng)條件以及學(xué)校地區(qū)平衡的原則進(jìn)行錄取。錄取通知將于2014年6月27日發(fā)出。
3.申請(qǐng)條件：具有博士學(xué)位的青年教師、博士研究生、成果突出的碩士研究生。
4.注冊(cè)費(fèi)每人500元，于收到錄取通知后繳費(fèi)。住宿有會(huì)議賓館可優(yōu)先優(yōu)惠預(yù)訂，但費(fèi)用需自行承擔(dān)。
5.學(xué)院為所有學(xué)員提供課程資料和講義、會(huì)議期間的餐飲。不負(fù)責(zé)訂返程票，不接送站（火車、飛機(jī)等）。
6.為了資助邊遠(yuǎn)地區(qū)學(xué)校的師生參會(huì),學(xué)院將提供5份獎(jiǎng)學(xué)金,用于支付注冊(cè)費(fèi)和住宿費(fèi).由學(xué)院在提出申請(qǐng)的符合條件的學(xué)員中進(jìn)行遴選.
7.請(qǐng)報(bào)名者填寫報(bào)名表（報(bào)名表格下載）
郵寄：北京市海淀區(qū)中國人民大學(xué)信息樓429室 史曉薇 ，郵政編碼：100872
（郵寄請(qǐng)注明：VLDB 2014 Summer School）
同時(shí)，發(fā)送掃描件至 vldbss2014@163.com
8.紙質(zhì)報(bào)名表需由申請(qǐng)者所在單位簽署意見并加蓋公章。 紙質(zhì)報(bào)名表下載 ： 點(diǎn)擊下載
9.網(wǎng)上報(bào)名截止時(shí)間：2014年 6月 25日
聯(lián)系人
趙素云 zhaosuyun@ruc.edu.cn
講師介紹
Christian Jensen, Aalborg University, Denmark
ChristianS. Jensenis an Obel Professor of Computer Science at Aalborg University, Denmark. He wasa Professor at Aarhus University for a 3-year period from 2010 to 2013. Priorto that, he was a Professor at Aalborg University, Denmark. During the 1990s,he spent four sabbaticals at University of Arizona, and he recently spent aone-year sabbatical at Google Inc., Mountain View. He received the Ph.D. degreefrom Aalborg University in 1991 after 2 1/2 years of study at University ofMaryland, and he received the Dr. Techn. degree fromAalborg University in 2000. His research concerns data management anddata-intensive systems, and it concerns primarily temporal and spatio-temporaldata management. He is an ACM and an IEEE fellow, and he is a member of theAcademia Europaea, the Royal Danish Academy of Sciences and Letters, the DanishAcademy of Technical Sciences, and the EDBT Endowment, as well as a trusteeemeritus of the VLDB Endowment. He received the Ib Henriksen Research Award2001 for his research in mainly temporal data management, Telenor's NordicResearch Award 2002 for his research in mobile services, and the Villum KannRasmussen Award for Technical and Scientific Research 2011 for his generalresearch contributions. He is Editor-in-Chief of ACM TODS and anEditor-in-Chief of The VLDB Journal, and he is an Area Editor (temporaldatabases) for the Encyclopedia of Database Systems. He has served on theeditorial boards of ACM TODS, IEEE TKDE, and the IEEE Data EngineeringBulletin. He was PC chair or co-chair for SSTD 2001, EDBT 2002, VLDB 2005,MobiDE 2006, MDM 2007, DMSN 2008, TIME 2008, ACM SIGSPATIAL GIS 2011, AP Web2012, IEEE ICDE 2013, and DASFAA 2014.
Ling Liu, Georgia Institute ofTechnology, USA
Xing Xie博士, MSRA(微軟亞洲研究院)研究員
Dr. Xing Xie iscurrently a senior researcher in Microsoft Research Asia, and a guest Ph.D.advisor for the University of Science and Technology of China. He received hisB.S. and Ph.D. degrees in Computer Science from the University of Science andTechnology of China in 1996 and 2001, respectively. He joined MicrosoftResearch Asia in July 2001, working on spatial data mining, location basedservices, social networks and ubiquitous computing. During the past years, hehas published over 140 referred journal and conference papers. He has more than50 patents filed or granted. He currently serves on the editorial boards of ACMTransactions on Intelligent Systems and Technology (TIST), SpringerGeoInformatica, Elsevier Pervasive and Mobile Computing, Journal of LocationBased Services, and Communications of the China Computer Federation (CCCF). Hehas worked as a guest editor of IEEE Transactions on Multimedia and IEEEIntelligent Systems. In recent years, he was involved in the program or organizingcommittees of over 70 conferences and workshops. Especially, he initiated theLBSN workshop series and served as program co-chair of ACM UbiComp 2011 andprogram chair of the 8th Chinese Pervasive Computing Conference (PCC 2012). InOct. 2009, he founded the SIGSPATIAL China chapter which was the first regionalchapter of ACM SIGSPATIAL. He is a member of Joint Steering Committee of theUbiComp and Pervasive Conference Series. He is a senior member of ACM, theIEEE, and China Computer Federation (CCF).
