'Frequency count' diaporamas de présentation

Tuning the Optimizer Statistics

Tuning the Optimizer Statistics. Eric Miner Senior Engineer Data Server Technology eric.miner@sybase.com. There are Two Kinds of Optimizer Statistics. Table/Index level- describes a table and its index(es) Page/row counts, cluster ratios, deleted and forwarded rows

748 views • 55 slides

HRP 223 - 2008

558 views • 47 slides

Mining Frequent Patterns without Candidate Generation

1.17k views • 44 slides

Behavioral Observation

Behavioral Observation. Cindy Pirani IDEAL Consulting. Goals for Today. What does it mean to define a problem? Present the big ideas of learning to think functionally Setting Events Antecedents Behavior Consequences Briefly review basic elements of functional assessment and observation

356 views • 33 slides

Outperforming LRU with an Adaptive Replacement Cache Algorithm

Outperforming LRU with an Adaptive Replacement Cache Algorithm. Nimrod megiddo Dharmendra S. Modha IBM Almaden Research Center. Outline. Introduction. ARC intuition. Cache replacement Algorithms. Cache and History. Adaptive replacement Cache. Experimental Results. Conclusion.

518 views • 26 slides

Topic Themes for Multi-Document Summarization

240 views • 24 slides

Descriptive Statistics

Descriptive Statistics. Chapter 3. Numerical Scales Nominal scale -Uses numbers for identification (student ID numbers) Ordinal scale - Uses numbers for ranking (order of winners in a race)

386 views • 21 slides

Chapter 4 Displaying & Summarizing Quantitative Data

Chapter 4 Displaying & Summarizing Quantitative Data. Histograms. Similar to bar charts, but with quantitative data. No gaps between bars. Summarizes data visually using frequency count. Data: Amount spent by 50 customers at a grocery store.

408 views • 20 slides

CSC 4630

CSC 4630. Meeting 12 Exam Reprise. Regular Expressions. In awk distinguish among /[a-dw-z]/ /^[a-dw-z]/ /[^a-dw-z]/ /^[a-dw-z]$/ !/[a-dw-z]/. Variables in Scripts. Built-in vs. user defined Initialization conventions Values vs. names Types and coercion. awk Variables. Compare NF

206 views • 9 slides