'Heterogeneous sources' presentation slideshows

An Intelligent Broker Architecture for Context-Aware Systems

An Intelligent Broker Architecture for Context-Aware Systems. Harry Chen Dept. of CSEE, UMBC PhD Dissertation Proposal Defense. January 2003. Outline. Introduction Research Review Context Broker Architecture Research Plan & Summary. Part I. Introduction.

903 views • 77 slides

PhD Confirmation 19574746

PhD Confirmation 19574746. Scheduling Multiple Scientific Workflows Based on Resources in Grid Environment Sucha Smanchat Supervisors: Dr. Chris Ling Dr. Maria Indrawan. Content. Introduction Motivation Related Work Research Objective Proposed Methodology

956 views • 56 slides

Data Warehousing

Data Warehousing . Xintao Wu. Evolution of Database Technology (See Fig. 1.1). 1960s: Data collection, database creation, IMS and network DBMS 1970s: Relational data model, relational DBMS implementation 1980s:

472 views • 34 slides

Grid-Enabled Geospatial Systems

OGF-24. Grid-Enabled Geospatial Systems. Craig Lee lee@aero.org . Mark Reichardt mreichardt@opengeospatial.org. Geospatial Data: Immense Applicability. Estimates vary, but ~80-90% of all data collected or produced by the human race is geospatially referenced.

441 views • 32 slides

QUIRK: QU estion Answering = I nformation R etrieval + K nowledge

QUIRK: QU estion Answering = I nformation R etrieval + K nowledge. Cycorp IBM Presenter: Stefano Bertolo (Cycorp). Project Goals. Break answer-by-retrieval bottleneck Deep (semantic) understanding of queries and answers Integration of heterogeneous sources

427 views • 32 slides

Organizing Search Results

Organizing Search Results. Susan Dumais Microsoft Research. Organizing Search Results. Algorithms and interfaces that improve the effectiveness of search Beyond ranked lists Main goal to support search Also information analysis and discovery Example applications

649 views • 28 slides

Decision Support

Decision Support. Chapter 23. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

518 views • 24 slides

Data Warehouse & Mining

Data Warehouse & Mining. Dr. Abdul Basit Siddiqui Assistant Professor FUIEMS (Lecture Slides Week # 2). Why a Data Warehouse (DWH)?. Data recording and storage is growing: Almost every industry has huge amount of operational data.

450 views • 24 slides

Ontology Learning and Population using Heterogeneous Sources on the Web

281 views • 19 slides

252 views • 19 slides

Suleyman Cetintas 1 , Monica Rogati 2 , Luo Si 1 , Yi Fang 1

Identifying Similar People in Professional Social Networks with Discriminative Probabilistic Models. Suleyman Cetintas 1 , Monica Rogati 2 , Luo Si 1 , Yi Fang 1. LinkedIn Corp. 2 Mountain View, CA, 95054, USA. Department of Computer Sciences 1

171 views • 1 slides