'Search features' presentation slideshows

Axess Timecard Delta Demo April 2009

Axess Timecard Delta Demo April 2009. Axess Timecard Delta Demo Agenda. Roles, Responsibilities & Process Overview Timecard Anatomy Searc h Features & Approvals Schedules Timecard Edits Accruals Reports Adjust Paid Time Go Live Schedule Training & Resources Summary.

973 views • 83 slides

Axess Timecard Delta Demo April 2009

Axess Timecard Delta Demo April 2009. Axess Timecard Delta Demo Agenda. Roles, Responsibilities & Process Overview Timecard Anatomy Searc h Features & Approvals Schedules Timecard Edits Accruals Reports Adjust Paid Time Go Live Schedule Training & Resources Summary.

1.03k views • 83 slides

Effectively Searching CCOHS Databases

Effectively Searching CCOHS Databases. Laurie Tirone & Jan Chappel Canadian Centre for Occupational Health and Safety (CCOHS). Formulating Your Search. What is your search question or topic? Which database or data source should you use? What are the features of the search engine?.

749 views • 59 slides

Out-Googling Google: Finding What Google Misses

Internet Librarian International 2006. Out-Googling Google: Finding What Google Misses. http://www.rba.co.uk/ili /. Karen Blakeman Internet Search & Retrieval Strategy Adviser UKeiG UK http://www.ukeig.org.uk/ http://www.ukeig.org.uk/blog/ http://ukeig.xwiki.com/.

698 views • 51 slides

Out-Googling Google: Finding What Google Misses

Internet Librarian International 2006. Out-Googling Google: Finding What Google Misses. http://www.rba.co.uk/ili /. Karen Blakeman Internet Search & Retrieval Strategy Adviser UKeiG UK http://www.ukeig.org.uk/ http://www.ukeig.org.uk/blog/ http://ukeig.xwiki.com/.

606 views • 51 slides

PATENTSCOPE search system: Advanced search

619 views • 50 slides

PATENTSCOPE search system: Advanced search

772 views • 50 slides

Oracle Database 11g New Search Features and Roadmap

546 views • 27 slides

OpenGeoSci , eBooks, and Updates

335 views • 24 slides

SharePoint 2010 101

SharePoint 2010 101. MOSS 2007 - Platform. Platform Services Workspaces, Mgmt, Security, Storage, Topology, Site Model. Server-based Excel spreadsheets and data visualization, Report Center, BI Web Parts, KPIs/Dashboards.

315 views • 20 slides

Content

311 views • 19 slides

Content

266 views • 19 slides

By Ed Jessup MLS

By Ed Jessup MLS. Using Databases for Research. Provided through the homepage of the NYIT Library: http://www.nyit.edu/library Can also be found through the homepage of public libraries like the New York Public Library: http://nypl.org/. Why Use Databases for Research?.

264 views • 15 slides

Computers in the Medical Office

Computers in the Medical Office. Chapter 4: Entering Patient Information. How Patient Information is Organized in Medisoft. Basic information about patients is entered in the Patient/Guarantor dialog box

388 views • 14 slides

Effective Searching

Effective Searching. Strategies and Techniques. Objectives. Understanding the importance of effective searching Development of guidelines for planning and implementing searches Gain experience of structuring effective searches in a range of different environments. Strategy.

283 views • 12 slides

Searching on the Internet

Searching on the Internet. A Selection of Tools And some caveats. Search Features. Case Sensitivity Date Limits Boolean Operators (+, -) Phrases Nearness Wildcards Concept searches. Results. Relevancy Duplication Elimination Search Refinement Multi-page output/count limitations

271 views • 9 slides

Federated Searching Feedback: Walking the Talk?

159 views • 9 slides

Investigating Your Educational Opportunities C. 5 Activity 1 pgs. 53 & 54 11-21

193 views • 5 slides

Web development and Seo company in Toronto

Oraclelites is one stop solution for all IT Needs, we are web development and Seo company in toronto. We provide all IT related services like web designing and development, software testing ,SEO and Internet Marketing. Visit Us:-http://oraclelites.com

63 views • 5 slides

Beyond 2017

With technology & marketing joining hands in the recent years the amount of data being generated from customer interactions, purchase behavior etc. is immense. Big data constitutes the huge data sets that include both structured & unstructured data & is too voluminous for data processing software to handle.

16 views • 1 slides