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Lehigh - CSE - 265
CSE265: System Admin.2006-04-10 Database Management Chad HoggWhy Use A Database? Efficient storage of lots of data Reliable access by many people simultaneously Representation of relationships between data Tight access controls for data A
Baylor - GEO - 1408
Waves and Water DynamicsMost waves wind-driven Moving energy along ocean/air interface Wind main disturbing force Boundary between and within fluids with different densities Air/ocean interface (ocean waves) Air/air interface (atmospheric wa
Lehigh - CSE - 265
CSE 265: System and Network AdministrationThe Network File System NFS Introduction Server-side NFS Client-side NFS NFS Statistics with nfsstat Dedicated NFS File Servers Automatic Mounting Automount AMDCSE 265: System and Network Admini
Baylor - GEO - 1408
Moisture, Clouds, and PrecipitationMoisture, Clouds, and Precipitation Water's Change of State Water Vapor in the Atmosphere Adiabatic Temperature Changes Processes that Lift the Air Atmospheric Stability Forms of Condensation Forms of Pre
Lehigh - CSE - 265
CSE 265: System and Network AdministrationMW 1:10-2:00pm Maginnes 105 http:/www.cse.lehigh.edu/~brian/course/sysadmin/ Find syllabus, lecture notes, readings, etc. Instructor: Prof. Brian D. Davison davison@cse.lehigh.edu http:/www.cse.lehigh.edu/~b
Lehigh - CSE - 265
CSE 265: System and Network AdministrationDebugging Learn the customer's problem Find the root cause and fix it Have the right tools Fix things once, rather than over and over Avoid the temporary fix trap Learning from carpentersCSE 265: Syst
Lehigh - CSE - 265
CSE 265: System and Network AdministrationEthicsThe principles of conduct that govern a group of people Proclamation of what is right and good Probably too late to help much here Policies concerning computer use are generally either for users o
Lehigh - CSE - 265
CSE 265: System and Network AdministrationSharing System Files with NIS Motivation Copying files around NIS: Network Information Service NIS+ and LDAPSpring 2006CSE 265: System and Network Administration2006 Brian D. DavisonSharing sy
Lehigh - CSE - 265
CSE 265: System and Network AdministrationSoftware Installation, Localization, and Maintenance Installation, customization Keeping your systems up to date Package management: RPM Automating downloading and installation: YUM OS Upgrades Mainte
Lehigh - CSE - 265
CSE 265: System and Network AdministrationTCP/IP Networking We will cover just some of the practical issues Highly recommend taking a networking course What is TCP/IP? Layers, addresses, NAT Protocols: ARP, DHCPCSE 265: System and Network
Lehigh - CSE - 265
CSE 265: System and Network AdministrationIf you aren't measuring it, you aren't managing it. Service Monitoring Syslog and Log files Historical data Real-time monitoring Logging policies what do you do with logs? Linux log files Logrotat
Towson - ACCT - 202
Principles of Accounting II Online Session 4 Summer ,08 Accounting 202-041 Dr. Charles L. Martin Jr., CPA chmartin@Towson.edu When you email me, please identify yourself as a student in ACCT 202COURSE DESCRIPTION: This course examines the prepara
Lehigh - CSE - 265
CSE 265: System and Network AdministrationDaemons init cron and atd inetd and xinetd Kernel daemons File service daemons Internet daemons Time synchronization daemons Booting and configuration daemons FTP and WWW proxy serversCSE 265: S
Lehigh - CSE - 265
CSE 265: System and Network AdministrationControlling Processes Components of a process Life cycle of a process Signals Send signals using kill and killall Process states Influence scheduling priority with nice and renice Monitor processe
Lehigh - CSE - 265
CSE 265: System and Network AdministrationElectronic Mail Mail systems Addressing, mail headers Client/server philosophy, mail homes Aliases, mail routing, mailnig list software sendmail security performanceCSE 265: System and Network Adm
Lehigh - CSE - 265
CSE 265: System and Network AdministrationUser accounts Root powersThe /etc/passwd file The /etc/shadow file The /etc/group file Adding users Removing users Disabling logins Account management utilitiesOwnership of files and process
Lehigh - CSE - 265
CSE 265: System and Network AdministrationPrinting and print services Printing policies and architecture Printing terms Types of printers LPD, LPRng, CUPS Adding a printer Debugging printing problems Common printing softwareCSE 265: Syste
Lehigh - CSE - 265
CSE 265: System and Network Administration Disks Partitions Volumes Filesystems FilesSpring 2006CSE 265: System and Network Administration2006 Brian D. DavisonDisk interfacesRelatively fewSCSI (pronounced " scuzzy" )Common, wid
UCSC - BIO - 20B
Circulatory System8/1/08 Fri Circulatory system job: Cells need to be bathed in an aqueous medium Small organisms like hydra have high SA/V and are only 2 cell layers think ocean is their aqueous medium Larger animals must have a way of transp
Lehigh - CSE - 265
CSE 265: System and Network AdministrationDNS The Domain Name System History of DNS What does DNS do? The DNS namespace BIND software How DNS works DNS database Testing and debugging (tools)CSE 265: System and Network Administration 2006
Lehigh - CSE - 265
CSE 265: System and Network AdministrationBackup and Restore Why do you need backups? What are backups? Backup and restore policies Backup schedule Capacity and consumables planning Backup media Dump, tar, and AMANDACSE 265: System and Ne
Lehigh - CSE - 265
CSE 265: System and Network AdministrationNetwork Architecture Hardware Routing Getting connected Centralization/decentralization Network topology Network debugging toolsSpring 2006CSE 265: System and Network Administration2006 Brian
Lehigh - CSE - 265
CSE 265: System and Network AdministrationMaking mixed environments workSharing Resources Common authentication Network name resolution Printers Files Add or configure similar interface/functionality Remote desktops Dual-booting OS Emulati
Lehigh - CSE - 265
CSE 265: System and Network AdministrationSystem startup and shutdown Bootstrapping Booting PCs Boot loaders Booting into single user mode Startup scripts Rebooting and shutting downSpring 2006CSE 265: System and Network Administration
Lehigh - CSE - 265
CSE 265: System and Network AdministrationDisaster Recovery Why disaster recovery? What is a disaster? Risk analysis? Legal obligations Damage limitation PreparationBackup and Restore is coming nextCSE 265: System and Network Administr
Lehigh - CSE - 265
CSE 265: System and Network Administration Who has sysadmin experience? TodayManaging (lots of) desktopsLoading, updating, configuring Important to lots of people Reasons for most serversManaging serversManaging servicesSpring 20
Lehigh - CSE - 265
Virtualization and Virtual Machines (VM)Tom Gianos 3/29/06What is it?Virtualization is a framework or methodology of dividing the resources of a computer into multiple execution environments,Done by applying one or more concepts or technolog
Lehigh - CSE - 450
CSE 450: Web Mining SeminarDiscussion QuestionsWant to consider what we have learned over the past semester More interested in brainstorming than debates Everyone needs to contribute I will act as a facilitator, but not so much as a participant
Lehigh - CSE - 450
PageRank without hyperlinks: Structural re-ranking using links induced by language modelsOren Kurland 1,3 kurland@cs.cornell.edu Lillian Lee 1,2,3 llee@cs.cornell.edu1. Computer Science Department, Cornell University, Ithaca NY 14853, U.S.A. 2. La
Lehigh - CSE - 450
Query Chains: Learning to Rank from Implicit FeedbackFilip RadlinskiDepartment of Computer Science Cornell University Ithaca, NY, USAThorsten JoachimsDepartment of Computer Science Cornell University Ithaca, NY, USAfilip@cs.cornell.edutj@cs.
Lehigh - CSE - 450
When Experts Agree: Using Non-Affiliated Experts to Rank Popular TopicsKrishna Bharat George A. Mihailapresentation by Na DaiMotivation Queries in popular topics Too many related web pages Tradition Content analysis Authority? Spam? Use
Lehigh - CSE - 450
Mining Anchor Text for Query RefinementReiner Kraft and Jason Zien IBM Almaden Research CenterMark StrohmaierProblem Motivation 23% of search queries are single-term Expanding the query can lead to more accurate searches Previous studies indi
Lehigh - CSE - 450
Topic-Sensitive PageRankTaher H. HaveliwalaStanford University Computer Science Department Stanford, CA 94305taherh@cs.stanford.edu(650) 723-9273ABSTRACTIn the original PageRank algorithm for improving the ranking of search-query results, a
Lehigh - CSE - 450
PageRank without hyperlinks:Structural re-ranking using links induced by language modelsOren Kurland and Lillian LeePresentation by Yang YuRelated Work Query-dependent clusteringDo not directly induces an obvious ranking of doc.Techniques ba
Lehigh - CSE - 450
Searching the Workplace WebRonald Fagin Ravi Kumar Kevin S.McCurley Jasmine Novak D. Sivakumar John A.Tomlin David P.WilliamsonPresentation by Na DaiMotivationInfluence of social forces on internet vs. intranetReflections Development guidance
Arizona - PHYS - 241
Chapter 46 Solutions46.1Assuming that the proton and antiproton are left nearly at rest after they are produced, the energy of the photon E, must be E = 2E0 = 2(938.3 MeV) = 1876.6 MeV = 3.00 10 10 J Thus, E = hf = 3.00 10 10 J f= 3.00 10 10 J
Lehigh - CSE - 450
Corroborate and learn facts from the webShubin Zhao and Jonathan BetzPresentation by Yang Yu1Problem Definition Known FactsEntity_Name Date of Birth Angelina Jolie June 4, 1975More FactsEntity_Name Date of Birth Academy Awards Place of birt
Lehigh - CSE - 450
Distributed Computing SeminarLecture 2: MapReduce Theory and ImplementationChristophe Bisciglia, Aaron Kimball, & Sierra Michels-SlettvetSummer 2007Except as otherwise noted, the contents of this presentation are Copyright 2007 University of Wa
Lehigh - CSE - 450
Opinion Observer: Analyzing and Comparing Opinions on the WebBing Liu, Minging Hu, Junsheng ChengPresentation by Mark StrohmaierProblem OverviewThe Internet allows people to see product reviews from a large number of peopleOften easier for c
Lehigh - CSE - 450
Chapter 5: Information Retrieval and Web SearchAn introductionMost slides courtesy Bing LiuIntroductionText mining refers to data mining using text documents as data. Most text mining tasks use Information Retrieval (IR) methods to pre-p
Lehigh - CSE - 450
Web Mining SeminarCSE 450Spring 2008MWF 11:1012:00pm Maginnes 113 Instructor: Dr. Brian D. Davison Dept. of Computer Science & Engineering Lehigh Universityhttp:/www.cse.lehigh.edu/~brian/course/webmining/davison@cse.lehigh.eduCourse Obje
Arizona - PHYS - 241
Chapter 1 Solutions*1.1With V = (base area) (height) V = r2 h and = m , we have V9 3 m 1 kg 10 mm = r2 h (19.5 mm)2 39.0 mm 1 m3 = = 2.15 104 kg/m31.2=M M = V 4 R3 3 3(5.64 1026 kg) = 623 kg/m3 4 (6.00 107 m) 3 4 3 3 (ro
Lehigh - CSE - 450
Distributed Computing SeminarLecture 5: Graph Algorithms & PageRankChristophe Bisciglia, Aaron Kimball, & Sierra Michels-Slettvet Summer 2007Except as otherwise noted, the content of this presentation is 2007 Google Inc. and licensed under the
Lehigh - CSE - 450
Distributed Computing SeminarLecture 4: Clustering an Overview and Sample MapReduce ImplementationChristophe Bisciglia, Aaron Kimball, & Sierra Michels-Slettvet Summer 2007Except as otherwise noted, the content of this presentation is 2007 Googl
Lehigh - CSE - 450
Sic Transit Gloria Telae: Towards an Understanding of the Web's DecayZiv Bar-Yossef et al IBM Almaden and T.J Watson Research CentersMark StrohmaierProblem MotivationDetermining if a link is dead is not trivialUsing dead links as a decay
Lehigh - CSE - 450
Road Map Basic concepts Decision tree induction Evaluation of classifiers Rule induction Classification using association rules Nave Bayesian classification Nave Bayes for text classification Support vector machines K-nearest neighbor Ens
Lehigh - CSE - 450
DETECTING PHRASE-LEVEL DUPLICATION ON THE WORLD WIDE WEBDennis Fetterly, Mark Manasse Marc Najork Microsoft Research SIGIR'05CSE 450 Web Mining Seminar Presented by Liangjie Hong y gj g March 24th, 20081BACKGROUNDTypes of SpamContent Spam Lin
Lehigh - CSE - 450
A Taxonomy of JavaScript Redirection SpamKumar ChellapillaMicrosoft Live Labs One Microsoft Way Redmond, WA 98052 +1 425 707 7575Alexey MaykovMicrosoft Live Labs One Microsoft Way Redmond, WA 98052 +1 425 705 5193kumarc@microsoft.com ABSTRACT
Lehigh - CSE - 450
Chapter 4: Unsupervised LearningMost slides courtesy Bing LiuRoad map Basic concepts K-means algorithm Representation of clusters Hierarchical clustering Distance functions Data standardization Handling mixed attributes Which clusterin
Lehigh - CSE - 450
Chapter 3: Supervised LearningMost slides courtesy Bing LiuRoad Map Basic concepts Decision tree induction Evaluation of classifiers Rule induction Classification using association rules Nave Bayesian classification Nave Bayes for tex
Lehigh - CSE - 450
Nadav Eiron, Kevin S.McCurley, JohA.Tomlin IBM Almaden Research Center WWW'04CSE 450 Web Mining Presented by Zaihan YangIntroduction & Contribution Propose algorithmic innovations for the basic PageRank paradigm. Problem of Web Frontier ( Dangl
Arizona - PHYS - 241
Chapter 2 Solutions*2.1(a) (b) v = 2.30 m/s x 57.5 m 9.20 m v = = = 16.1 m/s t 3.00 s x 57.5 m 0 m v = = = 11.5 m/s t 5.00 s Displacement = (8.50 104 m/h) x = (49.6 + 130) 103 m = 180 km 35.0 h + 130 103 m 60.0 (c)2.2(a)(b)Av
Lehigh - CSE - 450
Mining Web Multi-resolution Community-based Popularity for Information RetrievalLaurence A. F. Park Kotagiri RamamohanaraoDepartment of Computer Science and Software Engineering University of Melbourne, Australia {lapark,rao}@csse.unimelb.edu.au
Lehigh - CSE - 450
Bringing Order to the Web: Automatically Categorizing Search ResultsHao Chen School of Information Management & Systems University of California Berkeley, CA 94720 USA hchen@sims.berkeley.eduABSTRACTSusan Dumais Microsoft Research One Microsoft W
Arizona - PHYS - 241
Chapter 3 Solutions*3.1x = r cos = (5.50 m) cos 240 = (5.50 m)(0.5) = 2.75 m y = r sin = (5.50 m) sin 240 = (5.50 m)(0.866) = 4 .76 m3.2(a)d= d=(x 2 x 1 ) 2 + (y 2 y 1 ) 2 = 25.0 + 49.0 = 8.60 m (2.00)2 + (4.00)2 = 4.00 = 63.4 2.00
Lehigh - CSE - 450
Chapter 6: Link AnalysisMost slides courtesy Bing LiuRoad map Introduction Social network analysis Co-citation and bibliographic coupling PageRank HITS Summary2IntroductionEarly search engines mainly compare content similarity of t
Arizona - PHYS - 241
Chapter 4 Solutions*4.1 x(m) 0 3000 1270 4270 m (a) y(m) 3600 0 1270 2330 m x2 + y2Net displacement == 4.87 km at 28.6 S of W (b) Average speed = (20.0 m/s)(180 s) + (25.0 m/s)(120 s) + (30.0 m/s)(60.0 s) (180 s + 120 s + 60.0 s)= 23.3 m
Lehigh - CSE - 450
CSE 450 Web Mining Seminar CSE W b Mi i S i Jian WangRoadmap dAnalysis of User Behavior A l i f U B h iAnalysis of Implicit Feedback Learning Ranking Functions Conclusion and Future WorkReference: Accurately Interpreting Clickthrough Dat
Lehigh - CSE - 450
by Hao Chen, Susan Dumais by Hao Chen Susan Dumais cse 450: Web Mining Seminar Jian WangABSTRACT & INTRODUCTIONA user interface that organizes Web search results into hierarchical lt i t hi hi l categories. Two main componentsA text classi
Arizona - PHYS - 241
Chapter 5 Solutions*5.1For the same force F, acting on different masses F = m1a1 (a) (b) and F = m2a2m 1 a2 1 = = m2 a 1 3 F = (m1 + m2)a = 4m1a = m1(3.00 m/s2) a = 0.750 m/s2*5.2F = 10.0 N, m = 2.00 kg (a) (b) (c) a= F 10.0 N = = 5.00 m/s2
Lehigh - CSE - 450
CSE 450 Web Mining Seminar CSE W b Mi i S i Jian WangIntroductionExtractbased generic Webpage summarization To utilize extra knowledge to improve Webpage summarization, i.e., clickthrough dataset summari ation i e clickthrough dataset To bui