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##### University Of Texas - CS 386
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• ###### vehicle-insurance-model
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###### Vehicle-insurance-model

School: University Of Texas

note: an unusual multiplicity for aggregation. Car insurance can have many vehicles listed, but a legal vehicle has just a single insurance policy

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###### Hw789-optIII

School: University Of Texas

Homework 7,8 & 9 Homework 7: Assigned: 11/15/07 Due: 11/24/07, deliver to the T.A. Part 1: Do (turn-in) textbook problems: 16,4.1 c, d, h, i, 16.6,1 Think about textbook problems: 16.5.1 Part 2: Question 3 from the midterm, (the R-tree question). Par

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###### Hw789-optIII

School: University Of Texas

Homework 7,8 & 9 Homework 7: Assigned: 11/15/07 Due: 11/24/07, deliver to the T.A. Part 1: Do (turn-in) textbook problems: 16,4.1 c, d, h, i, 16.6,1 Think about textbook problems: 16.5.1 Part 2: Question 3 from the midterm, (the R-tree question). Par

• 1 Page
###### Hw5n6-III07

School: University Of Texas

Homeworks 5 & 6 Assigned: 10/26/07 Due dates: HW5, Sunday 11/4/07 HW6, Monday 11/5/07 Option III Data Engineering, Fall '05 C Created on TIME \@ "M/d/yy" 10/26/07 Version: 1.0 Homework 5: Part 1: Textbook problems: 15.2.1 c,e,g,i, 15.2.4c, 15.3.3 P

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• ###### Midterm Exam Review Sheet
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###### Midterm Exam Review Sheet

School: University Of Texas

Midterm Exam Review Sheet EE382V Data Engineering Fall '07 Professor Daniel Miranker Exam Date: Saturday, 10/14/05, 1:00 2:15, closed book. This review sheet is intended only as a study guide concerning the breadth of the exam. You are expected to

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• ###### Fianl Exam Review Sheet 07
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###### Fianl Exam Review Sheet 07

School: University Of Texas

Final Exam Review Sheet EE382V Data Engineering Fall '07 Professor Daniel Miranker Exam Date: Friday, 12/7/07, comprehensive 3 hour exam, closed book. This review sheet is intended only as a study guide concerning the breadth of the exam. You are exp

• 84 Pages
###### Mixins

School: University Of Texas

%!PS-Adobe-3.0 %BoundingBox: (atend) %Pages: (atend) %PageOrder: (atend) %DocumentFonts: (atend) %Creator: Frame 5.0 %DocumentData: Clean7Bit %EndComments %BeginProlog % % Frame ps_prolog 5.0, for use with Frame 5.0 products % This ps_prolog file is

• 41 Pages
###### Weise

School: University Of Texas

%!PS-Adobe-2.0 %Creator: dvips 5.490 Copyright 1986, 1992 Radical Eye Software %Title: pldi-macro.dvi %Pages: 12 1 %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f pldi-macro.dvi %BeginProcSet: tex.pro %! /TeXDict 250 dict def TeXDi

• 43 Pages
###### Protver

School: University Of Texas

%!PS-Adobe-2.0 %Creator: dvips(k) 5.83 Copyright 1998 Radical Eye Software %Title: protver.dvi %Pages: 9 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips protver.dvi -o %DVIPSParam

• 114 Pages
###### Chiba-oopsla95

School: University Of Texas

%!PS-Adobe-2.0 %Creator: dvipsk 5.58c Copyright 1986, 1994 Radical Eye Software %Title: paper.dvi %Pages: 15 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips paper.dvi %DVIPSParameters: dpi=300, compressed, comments

• 81 Pages
###### Zpl00

School: University Of Texas

%!PS-Adobe-2.0 %Creator: dvipsk 5.66a Copyright 1986-97 Radical Eye Software (www.radicaleye.com) %Title: paper.dvi %Pages: 29 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: Times-Roman Times-Bold Courier Times-Italic %+ Helvetica-Bold

• 126 Pages
###### Zpl93

School: University Of Texas

%!PS-Adobe-2.0 (TeXPS: dvi->PostScript Driver dvitps, Version 3.11 of September 5, 1990\n)print flush %Creator: derkins.cs.washington.edu:linc (Calvin Lin) %DocumentPaperSizes: Letter %Title: Dvi to PostScript converter, Version 3.11 of September 5,

• 21 Pages
###### Mcguire

School: University Of Texas

• 195 Pages
###### Casper

School: University Of Texas

%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: paper.dvi %Pages: 31 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %DocumentPaperSizes: A4 %EndComments %DVIPSCommandLine: dvips -o casper.ps paper.dvi %DVIPSParam

• 30 Pages
###### Syllabus

School: University Of Texas

• 3 Pages
###### Hw5n6-III07

School: University Of Texas

Homeworks 5 & 6 Assigned: 10/26/07 Due dates: HW5, Sunday 11/4/07 HW6, Monday 11/5/07 Option III Data Engineering, Fall '05 Created on 10/26/07 Version: 1.0 Homework 5: Part 1: Textbook problems: 15.2.1 c,e,g,i, 15.2.4c, 15.3.3 Part 2: In english p

• 3 Pages
• ###### Midterm Exam Review Sheet
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###### Midterm Exam Review Sheet

School: University Of Texas

Midterm Exam Review Sheet EE382V Data Engineering Fall 07 Professor Daniel Miranker Exam Date: Saturday, 10/14/05, 1:00 2:15, closed book. This review sheet is intended only as a study guide concerning the breadth of the exam. You are expected to kn

• 18 Pages
###### Bali

School: University Of Texas

The Bali Language Jacob ("Jack") Neal Sarvela May 1, 2003 Abstract. Bali is an LL(k) grammar-specification language designed to produce parsers for the AHEAD tool suite. Unlike traditional grammar specifications using, for example, lex/yacc or JavaCC

• 57 Pages
###### Lab1

School: University Of Texas

#%-12345X@PJL JOB @PJL ENTER LANGUAGE = Postscript %!PS-Adobe-3.0 %Title: Microsoft Word - lab1.doc %Creator: PScript5.dll Version 5.2 %CreationDate: 2/21/2002 20:9:29 %For: NIL %BoundingBox: (atend) %Pages: (atend) %Orientation: Portrait %PageOrder:

• 7 Pages
###### Lab1

School: University Of Texas

CS 386M Lab 1 Router Configuration and Routing Cisco 2600 Router Configuration Static Routing Dynamic Routing In this lab you will learn: PartA PartB PartC Explore! Time: 2 hrs 50 min 30 min 40 min Components used in this lab: 2 computers with Micro

• 3 Pages
###### Goudalab

School: University Of Texas

CS386M Lab Cisco 2600 Router Configuration Static Routing Dynamic Routing Access Control Lists In this lab you will learn: PartA PartB PartC PartD Explore! Time: 2 hrs 30 min 40 min 20 min 30 min 30 min Components used: 2 computers with Microsoft Wi

• 15 Pages
###### Gouda_lab

School: University Of Texas

CS CS386M Communication Networks Basic LAN Setup & Trace analysis using Ethereal Time: 2 hrs Tasks: Time: 2:00 hrs (Task 1-6 should take 45 min; the rest of the time is for Ethereal) 1 - Verify that TCP/IP is installed on each of the computers 2 -

• 2 Pages
###### Gouda_prelab

School: University Of Texas

CS 386M Communication Networks Spring 2004 Pre-Lab: Basic LAN Setup & Trace analysis using Ethereal A completed pre-lab needs to be turned in at the beginning of the lab session and you should bring your lab handout with you. 0. Please sign up for y

• 1 Page
###### Quiz5

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2009 Quiz 5 -- Consider an e-voting system that consists of a voting center c and an array of 100 voters v[0], ., v[99]. Periodically, c sends a

• 1 Page
###### Quiz3

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2008 Quiz#3 -- A process p needs to establish a session key sk with another process q under the following three assumptions: 1. Process p trus

• 3 Pages
###### Midterm2

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2009 Midterm 2 -- Open book 75 minutes - 1. (10 points) In the Single Password Protocol (SPP), a server S maintains the following tuple f

• 11 Pages
###### JTS-Theory

School: University Of Texas

JTS: Tools for Implementing Domain-Specific Languages Don Batory, Bernie Lofaso, and Yannis Smaragdakis Department of Computer Sciences The University of Texas at Austin Austin, Texas 78712 {batory, bernie, smaragd}@cs.utexas.edu Abstract1 The Jakar

• 19 Pages

School: University Of Texas

Revised September 8, 2004 A Tutorial on Feature Oriented Programming and the AHEAD Tool Suite (ATS) Don Batory Department of Computer Sciences University of Texas at Austin Austin, Texas, 78712 U.S.A. batory@cs.utexas.edu 1 Introduction Software En

• 3 Pages
###### Goudaprelab

School: University Of Texas

Router configuration, Static and Dynamic Routing, Access control lists Pre Lab(To be submitted when you come for the lab) Name: 1. Differentiate between Routers, Switches and Hubs. 2. Explain subnet masks. 3. What are the advantages of Dynamic rout

• 1 Page
###### Goudaprelab

School: University Of Texas

Router configuration, Static and Dynamic Routing, Access control lists Pre Lab(To be submitted when you come for the lab) Name: 1. Differentiate between Routers, Switches and Hubs. 2. Explain subnet masks. 3. What are the advantages of Dynamic rout

• 7 Pages
###### Lab1

School: University Of Texas

CS 386M Lab 1 Router Configuration and Routing Cisco 2600 Router Configuration Static Routing Dynamic Routing In this lab you will learn: PartA PartB PartC Explore! Time: 2 hrs 50 min 30 min 40 min Components used in this lab: 2 computers with Micro

• 13 Pages
###### Gouda_lab

School: University Of Texas

CS CS386M Communication Networks Basic LAN Setup & Trace analysis using Ethereal Time: 2 hrs Tasks: Time: 2:00 hrs (Task 1-6 should take 45 min; the rest of the time is for Ethereal) 1 - Verify that TCP/IP is installed on each of the computers 2 -

• 2 Pages
###### Gouda_prelab

School: University Of Texas

CS 386M Communication Networks Spring 2004 Pre-Lab: Basic LAN Setup & Trace analysis using Ethereal A completed pre-lab needs to be turned in at the beginning of the lab session and you should bring your lab handout with you. 0. Please sign up for y

• 1 Page
###### Schedule

School: University Of Texas

Presentation Schedule for CS 386S: - Any student enrolled in CS 386S class can attend any subset of the following presentations: - Subject Date-and-Time Room -- E-Voting May 8, 11-12 noon TAY 3.144 Denial-of-Service May 8, 3-4 pm ACE 3.116

• 1 Page
###### Quiz8

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2009 Quiz 8 -- Design a packet filter that implements hop integrity over the subnetwork 128.83.10.0/24. (Recall that the IP addresses on this s

• 1 Page
###### Quiz7

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2009 Quiz 7 -- There are two objectives of the anonymity protocol of David Chaum: 1. A user process p can send a secret fore message to anothe

• 1 Page
###### Quiz6

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2008 Quiz 6 -- Consider an antireplay window protocol where a process p sends a continuous stream of messages to process q. Each sent message fr

• 2 Pages
###### Quiz4

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2008 Quiz 4 -- Consider a mutual authentication protocol between processes p and q. In this protocol, process p has a public key B.p and a priva

• 2 Pages
###### Quiz2

School: University Of Texas

- Mohamed Gouda CS 386 S Spring 2008 Quiz#2 - Consider the following two-step cascade protocol PR, similar to those described in the Dolev and Yao paper. x -> y : Ad x <- y : BAd where d is data, A is a reduced key sequen

• 1 Page
###### Quiz1

School: University Of Texas

- Mohamed Gouda CS 386 S Spring 2009 Quiz#1 - Consider the following two-step cascade protocol, similar to those defined in the Dolev and Yao paper: x -> y : D.x E.y E.x D.y d x <- y : E.x D.y D.x E.y E.x D.y d Specify the steps

• 1 Page
###### Project

School: University Of Texas

- Mohamed G. Gouda CS 386S Spring 2009 Project -- Project: The students in the class will be orgainzed into seven teams of three students each. Then each team will perform the f

• 20 Pages
###### 2-4

School: University Of Texas

Part 2: Design Principles Goals: identify, study common architectural principles, protocol mechanisms synthesis: big picture Overview: Separation of data and control: signaling state management: hard vs. soft-state randomization indirection mu

• 1 Page
###### Chomsky-hierarchy

School: University Of Texas

All of Computational Linguistics deterministic methods chomsky hierarchy Type 0 Unrestricted Languages Grammars Type 1 Context Sensitive Languages Grammars Type 2 Context Free Languages Grammars Type 3 Regular Language Grammars Expressions statist

• 56 Pages
###### ShuDefense-0929

School: University Of Texas

On Multiple Sequence Alignment Shu Wang Ph.D. Defense Committee Members: Professor Daniel Miranker, advisor Professor Tony Ambler, co-advisor Professor Joydeep Ghosh Professor Robin Gutell Professor Driga Mircea Computer Engineering Curriculum Track

• 73 Pages
###### SemanticWeb09

School: University Of Texas

Introduction to the Semantic Web from the database & data integration perspective Professor Daniel P. Miranker Department of Computer Sciences University of Texas at Austin Austin, Texas, USA http:/cs.utexas.edu/~miranker In the beginning, the Sema

• 1 Page
###### CIPRes_poster_2

School: University Of Texas

C Common data standards and exchange protocols Collaborative study tools Solution: Morph* and CIPRes Interope

• 46 Pages
###### 36b-treescont09

School: University Of Texas

B+ Tree's:continued a) structure,split and promote b) intro: when to use. Objective: Understand the implications disk access on the design of data structures. fat fanout split/promote many slides, Thanks GarciaMolina, (but you may want to s

• 31 Pages
###### 19leftoversouffle09

School: University Of Texas

Left Over Souffl - Clock replacement - Waits for graph - Join index - Outer join - XML Objective: Not let you leave this class not knowing certain specific, sometimes high profile ideas 19LeftOverSouffle Database Management & Engineering 1 Clock Re

• 58 Pages
###### 16Log-Based Recovery09

School: University Of Texas

Log-Based Failure Recovery (when database management systems fail) Objectives: 1) review transactional requirements of a DBMS 2) Log-based algorithms to support durability Slide thanks: many from textbook web site 16 Transactions, Recovery Databas

• 36 Pages
###### 10chaining08-prelim

School: University Of Texas

Chaining Local Alignments Elements of Biological Data Models Daniel P. Miranker Objectives: Dynamic Programming Algorithm for Longest Path in a Directed Acyclic Graph Applied to piecing together maximal scoring local alignment 10Chaining-V2 Biol

• 20 Pages
###### 10bitvectorindex

School: University Of Texas

Bit-Vector Index Objectives: Basic introduction to a very different indexing concept. Place for the method in application use and culture Thanks: a few slides borrowed from Ramakrishnan text slides 14BitVectorIndex09 Database Systems 1 Cultura

• 21 Pages
###### 9SmithWaterman08-new

School: University Of Texas

From Edit Distance Local Alignment Objectives: - global alignment (Needleman-Wunch) - local (Smith-Waterman) alignment Also for you reference http:/www.techfak.uni-bielefeld.de/bcd/Curric/welcome.html http:/lectures.molgen.mpg.de/Pairwise/SeqAli

• 27 Pages
###### 8alignmentF08-errata

School: University Of Texas

Biological Sequence Alignment Objectives: Terminology surrounding sequence alignment Simple Edit Distance Dynamic Programming Algorithm 8Seq.Alignment08-errata Elements of Biological Data Models 1 Biological Sequence Alignment Materials adapt

• 27 Pages
###### 8alignment08

School: University Of Texas

Biological Sequence Alignment Objectives: Terminology surrounding sequence alignment Simple Edit Distance Dynamic Programming Algorithm 8Seq.Alignment07-errata Elements of Biological Data Models 1 Biological Sequence Alignment Materials adapt

• 36 Pages
###### 6DDL-F08

School: University Of Texas

Physical Implementation: Objectives: Role, structure of SQL data definition language Database enforcement of the data model (constraints) culminating in cascade delete. 6DDL Biological Data Models 1 Data Modeling In the Context of Database D

• 22 Pages
###### 5memoryRole09

School: University Of Texas

The Use of Memory (RAM) Objectives: Last two lectures, external data structures (index) for data retrieval measuring/understanding the utility of such data structures. This lecture role of main-memory allocation two-phase external sort block

• 24 Pages
• ###### sesameISWC2002TRversion
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###### SesameISWC2002TRversion

School: University Of Texas

On-To-Knowledge: Content-Driven Knowledge Management Tools through Evolving Ontologies Sesame: A generic Architecture for Storing and Querying RDF and RDF Schema Jeen Broekstra Arjohn Kampman Summary. On-To-Knowledge project deliverable 10. RDF and

• 12 Pages
• ###### DasOraclesEffortVLDB2004
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###### DasOraclesEffortVLDB2004

School: University Of Texas

Supporting Ontology-based Semantic Matching in RDBMS Souripriya Das, Eugene Inseok Chong, George Eadon, Jagannathan Srinivasan Oracle Corporation One Oracle Drive, Nashua, NH 03062, USA Abstract Ontologies are increasingly being used to build applica

• 117 Pages
###### 17

School: University Of Texas

Concurrency Control, Ch 18 Objectives: Serializble Schedules Serializability Theorem Modified from Hector GarciaMolina slides 17ConcurrencyControl Database Management 1 Correctness This text's authors include "transaction people". Introduc

• 26 Pages
###### Rosse

School: University Of Texas

1 Terminologia Anatomica; Considered from the Perspective of Next-Generation Knowledge Sources CORNELIUS ROSSE, M.D., D.Sc. Structural Informatics Group, Department of Biological Structure and Division of Biomedical Informatics, Department of Medica

• 13 Pages
###### P144-navathe

School: University Of Texas

VIEW REPRFSENTATION LOGICAL DATABASEDESIGN IN Shamkant B. Navathe Graduate School of Business New York University Mario Schkolnick IBM Research Laboratory San Jose, California 95193 ABSTRACT: The process of logical database design consists of four

• 10 Pages
• ###### nrg1295bioontologyreview
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###### Nrg1295bioontologyreview

School: University Of Texas

REVIEWS ONTOLOGIES IN BIOLOGY: DESIGN, APPLICATIONS AND FUTURE CHALLENGES Jonathan B. L. Bard* and Seung Y. Rhee Biological knowledge is inherently complex and so cannot readily be integrated into existing databases of molecular (for example, sequen

• 13 Pages
###### Navathe-sigmod78

School: University Of Texas

VIEW REPRFSENTATION LOGICAL DATABASEDESIGN IN Shamkant B. Navathe Graduate School of Business New York University Mario Schkolnick IBM Research Laboratory San Jose, California 95193 ABSTRACT: The process of logical database design consists of four

• 12 Pages
###### Golbreich

School: University Of Texas

What reasoning support for Ontology and Rules? the brain anatomy case study Christine Golbreich1, Olivier Dameron1, Olivier Bierlaire1 2, Bernard Gibaud2 1 Laboratoire dInformatique Mdicale, Av du Pr. Lon Bernard, 35043 Rennes France {christine.golb

• 3 Pages
• ###### redundantExcludedMiddle
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###### RedundantExcludedMiddle

School: University Of Texas

1,000.00 m 0.50 0.25 m_x 1.21 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.50 1.04 1.08 1.12 1.16 1.21 1.26 1.31 1.37 1,036,913.77 1,075,716.64 1,116,717.34 1,160,252.02 1,206,695.05 1,256,470.80 1,310,067.35 1,368,053.22 0.55 1.04 1.07 1.11 1.15 1.2

• 84 Pages
###### Patel-schneider-sw

School: University Of Texas

The Semantic Web and (vs?) Knowledge Representation ENC 2004, September 2004 Peter F. PatelSchneider Bell Labs Research Murray Hill, NJ, USA pfps@lucent.com Abstract The vision of the Semantic Web is a collection of documents in the World Wide Web

• 1 Page
###### Hw1-386

School: University Of Texas

Homework 1 Assigned: 9/6/05 CS 386 Database Management, Fall '05 Created on 9/6/05 Version: 1.0 Due: 9/13/05, at the begining of class, late to class, homework is late. If you are going to be late, make other arrangments with the T.A. Textbook prob

• 1 Page
###### Gyra_ecoli

School: University Of Texas

>sp|P09097|GYRA_ECOLI DNA gyrase subunit A (EC 5.99.1.3) - Escherichia coli, and Shigella flexneri. MSDLAREITPVNIEEELKSSYLDYAMSVIVGRALPDVRDGLKPVHRRVLYAMNVLGNDWN KAYKKSARVVGDVIGKYHPHGDSAVYDTIVRMAQPFSLRYMLVDGQGNFGSIDGDSAAAM RYTEIRLAKIAHELMADLEKETVDFVDN

• 17 Pages

School: University Of Texas

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 30, NO. 6, JUNE 2004 355 Scaling Step-Wise Refinement Don Batory, Member, IEEE, Jacob Neal Sarvela, Student Member, IEEE, and Axel Rauschmayer, Student Member, IEEE AbstractStep-wise refinement is

• 3 Pages
###### Rose_gotchas

School: University Of Texas

CS386 Database Management Smriti Ramakrishnan Data Modeling with IBM Rational Rose: Things to Remember This is my draft of class notes for 15 Sep 2005, along with some of my own UML notes. Please send any mistakes you find to smriti@cs.utexas.edu [

• 3 Pages
###### HwFinal-09

School: University Of Texas

CS386D: Remaining Homework and Schedule Due Dates: HW 8: Tuesday, April 21, noon HW 9: Monday, April 27, noon CS386D Database Systems Created on 4/17/09 Version: 1.0 This page speaks to all your deadlines, and all your homework for the rest of the

• 10 Pages
###### Manual

School: University Of Texas

Jacob Schrum, JBS2362, CS386C Dependable Computing Synchronous Atomic Broadcast Simulator Manual Underlying implementeation: Processor.php Models individual processors and the network. Contains global variable \$network: 1. An array of instances of

• 15 Pages
###### CS386L-Lecture-11

School: University Of Texas

The Structure of Typed Programming Languages (Chapter 4) CS386L- Programming Languages Dr. Greg Lavender Department of Computer Sciences The University of Texas at Austin CS386L: Lecture-11 - The Structure of Typed Programming Languages: Chapter 4

• 51 Pages
###### 6b-trees

School: University Of Texas

B+Trees:Primarymethodfor managingdataondisks. Obective:Understandtheimplicationsdiskaccesson thedesignofdatastructures. fatfanout split/promote manyslides,ThanksGarciaMolina,(butyoumay wanttoseehisoriginalset) 6:btrees DatabaseManagement&Engineerin

• 19 Pages
###### 1intro-08

School: University Of Texas

Introduction Option III: Data Engineering Daniel P. Miranker Objectives: Get to know each other Set expectations 1: Introduction Data Management & Engineering 1 Outline: Administrivia (see handouts) Personal introductions Course motivation

• 24 Pages
###### 20webapp

School: University Of Texas

Milestone 5: Web Application Elements of Biological Data Models Daniel P. Miranker Objectives: Information and Platform Organization of 3-tier architectures Milestone 5 as Java Applet 20WebApp Biological Data Models 1 Recap: Claimed benefit of

• 28 Pages
###### 17xml2-07

School: University Of Texas

XML Objectives: 1) Specifying the contents of an XML document (DTD's and XML Schema) 2) A simple programmatic way to fetch and parse XML from bio-websites. Thanks: Eran Toch, Kroenke, some materials derived from http:/www.w3schools.com/xml/default.a

• 34 Pages
###### 16xml-intro-07

School: University Of Texas

XML Database Export Schema Go Mainstream objectives: The parts and scope of XML Larger technological context of XML 16Intro XML 1 Usual Introduction to XML "Just like HTML, except the tags say what the data is, both people and programs can inte

• 8 Pages
• ###### 15bIndexKeyOptimization
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###### 15bIndexKeyOptimization

School: University Of Texas

Index-Key Optimization (cont'd) Elements of Biological Data Models Daniel P. Miranker Objectives: Key "hacks" to improve disk cluster & performance embolden students to take on a task traditionally reserved for DBA's 15bIndexKeyOptimization Bio

• 30 Pages
###### 14jdbc08

School: University Of Texas

JDBC: "Wiring Java to a Database" Objectives: Explain generic structure of client-server relationship in the application of databases. Detail programming JDBC for the MiniRosetta Project. slides: many with help from Shulin, some from Kroenke 12JDB

• 51 Pages
###### 6b-trees

School: University Of Texas

B+Trees:Primarymethodfor managingdataondisks. Objective:Understandtheimplicationsdiskaccesson thedesignofdatastructures. fatfanout split/promote manyslides,ThanksGarciaMolina,(butyoumay wanttoseehisoriginalset,seeclasswebsite) 6:btrees CS386Databas

• 27 Pages
###### 2vocabulary-06

School: University Of Texas

The Vocabulary of Logical Data Models Objectives: Databases are content addressable The role of keys Terminology basic database vocabulary of data models - words and images 2Vocabulary Bio. Data Models 1 DataModelingInthe ContextofDatabaseD

• 12 Pages
###### Shaprio

School: University Of Texas

Journal of the American Medical Informatics Association Volume 12 Number 1 Jan / Feb 2005 35 Application of Information Technology j Processes and Problems in the Formative Evaluation of an Interface to the Foundational Model of Anatomy Knowledg

• 3 Pages
###### Overview-posterversion

School: University Of Texas

CS329e Elements of Modeling Biological Data Spring 2006 Professor Daniel P. Miranker Course Content: The goal of this course is to teach non-CS students the basics of organizing data from an experiment as data in a database so that it will be easy t

• 3 Pages
###### Hw8910-optIII-v2

School: University Of Texas

Homework 8, 9 & 10 Note the consecutive Monday due dates EE382v Data Engineering, Fall '05 Created on 11/15/05 Version: 2.0 Homework 8: Assigned: 11/12/05 Due: 11/21/05, deliver to the T.A. Do (turn-in) textbook problems: 16.2.2c, 16.2.9 e,i, 16,4.

• 3 Pages
###### Hw8-9-386

School: University Of Texas

Homework 8 & 9 Homework 8: Assigned: 11/11/05 Due: 11/16/05, deliver to the T.A. CS 386 Database Management, Fall '05 Created on 11/11/05 Version: 1.0 Do (turn-in)textbook problems: 16.2.2c, 16.2.9 e,i, 16,4.1 c, d, h, i, 16.6,1 Think about textboo

• 3 Pages
###### Hw8-9-386-v2

School: University Of Texas

Homework 8 & 9 Homework 8: Assigned: 11/11/05 Due: 11/16/05, deliver to the T.A. CS 386 Database Management, Fall '05 Created on 11/15/05 Version: 2.0 Do (turn-in)textbook problems: 16.2.2c, 16.2.9 e,i, 16,4.1 c, d, h, i, 16.6,1 Think about textboo

• 1 Page
###### ExcludedMiddleM

School: University Of Texas

1rho 0.5 0.77 0.07 0.13 0.19 0.24 0.29 0.34 0.38 0.42 0.46 0.5 0.54 0.57 0.6 0.63 0.67 0.7 0.73 0.77 0.81 rho 0.5 0.23 0.93 0.87 0.81 0.76 0.71 0.66 0.62 0.58 0.54 0.5 0.46 0.43 0.4 0.37 0.33 0.3 0.27 0.23 0.19 m 0.5 0.9 0.05 0.1 0.15 0.2 0.25 0

• 3 Pages
###### Cs329e-for-BME-review

School: University Of Texas

CS329e Elements of Modeling Biological Data Spring 2006 Professor Daniel P. Miranker Course Content: The objectives of this course are twofold. First, the course will cover the emerging methods in biology that are responsible for the creation of lar

• 1 Page
###### Workbook20

School: University Of Texas

1rho 0.5 0.77 0.07 0.13 0.19 0.24 0.29 0.34 0.38 0.42 0.46 0.5 0.54 0.57 0.6 0.63 0.67 0.7 0.73 0.77 0.81 rho 0.5 0.23 0.93 0.87 0.81 0.76 0.71 0.66 0.62 0.58 0.54 0.5 0.46 0.43 0.4 0.37 0.33 0.3 0.27 0.23 0.19 m 0.5 0.9 0.05 0.1 0.15 0.2 0.25 0

• 117 Pages
###### 17

School: University Of Texas

Concurrency Control, Ch 18 Objectives: Serializble Schedules Serializability Theorem Modified from Hector GarciaMolina slides 17ConcurrencyControl Database Management 1 Correctness This text's authors include "transaction people". Introduc

• 8 Pages
• ###### 15bIndexKeyOptimization
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###### 15bIndexKeyOptimization

School: University Of Texas

Index-Key Optimization (contd) Elements of Biological Data Models Daniel P. Miranker Objectives: Key hacks to improve disk cluster & performance embolden students to take on a task traditionally reserved for DBAs 15bIndexKeyOptimization Biologi

• 30 Pages
###### 14jdbcF08

School: University Of Texas

JDBC: Wiring Java to a Database Objectives: Explain generic structure of client-server relationship in the application of databases. Detail programming JDBC for the MiniRosetta Project. slides: many with help from Shulin, some from Kroenke 12JDBC

• 35 Pages
###### 13multidimindex09

School: University Of Texas

Multidimensional (spatial) Indexing Objectives: Think of data in a space that can be cut up in many ways (k-d trees, quad-trees, R-trees) If thought of wrt split-and-promote, forms a generalizable infrastructure. Detailed considerations Thanks:

• 26 Pages
###### 13 Join Operators

School: University Of Texas

Physical Join Operators Objectives: Introduce three primary join methods Cost and adornment on plan trees 13 Join Operators Database Management & Engineering 1 Three Primary Classes of Join Algorithm 1. Block-Nested Loops (vs. Simple Nested Lo

• 27 Pages
###### 8alignmentF08

School: University Of Texas

Biological Sequence Alignment Objectives: Terminology surrounding sequence alignment Simple Edit Distance Dynamic Programming Algorithm 8Seq.Alignment07-errata Elements of Biological Data Models 1 Biological Sequence Alignment Materials adapt

• 34 Pages
• ###### 7TriggersViewsSemantics
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###### 7TriggersViewsSemantics

School: University Of Texas

Triggers and Views [Further opportunity for integrating application semantics] Objectives: Definition and use of Triggers and Views Expression and Compilation of Inheritance in UML 7:Semantics/Triggers/Views Database Systems 1 Course Notice: U

• 12 Pages
###### Akella03

School: University Of Texas

A Measurement-Based Analysis of Multihoming Aditya Akella Bruce Maggs Srinivasan Seshan Carnegie Mellon University {aditya, srini+, bmm}@cs.cmu.edu Anees Shaikh IBM T.J. Watson Research Center aashaikh@watson.ibm.com Ramesh Sitaraman Univ. of Massa

• 12 Pages
###### Meridian-sigcomm05

School: University Of Texas

Meridian: A Lightweight Network Location Service without Virtual Coordinates Bernard Wong Aleksandrs Slivkins Emin Gun Sirer Dept. of Computer Science, Cornell University, Ithaca, NY 14853 {bwong, slivkins, egs}@cs.cornell.edu ABSTRACT This paper in

• 14 Pages
###### Spam-gt-css-2006-001

School: University Of Texas

Understanding the Network-Level Behavior of Spammers Anirudh Ramachandran and Nick Feamster College of Computing Georgia Tech {avr, feamster}@cc.gatech.edu ABSTRACT well prove to be a huge asset for designing spam filters that are based on spammers'

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