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| All the opject defineing classes are in this folder. Note that all non webpage classes files(most cases the object defining classes) |
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| All data sources such as database files should be put in this folder |
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| Is a set of discrete, objective facts about events. A given fact. It can be a number, statement or picture. In an Org, described as structured records of transaction Normally stored on a database. |
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| facts or conclusions that have meaning within a context. Raw data is rarely meaningful or useful. |
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| Data is manipulated to make useful Information. Raw data is hard to read. Information is more useful to business than data. |
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| Contextualized, Categorized, Calculated, Corrected, Condensed |
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| for what purpose data was gathered |
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| key components of data should be analyzed |
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| data should be analyzed mathematically or statistically |
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| errors should be removed from data |
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| Data should be summarized in a more concise form |
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| is the process of extracting hidden patterns from data |
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| Can be used to conduct database analysis, decisions support, automation, etc. |
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| Why do we need data mining |
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| Leverage organizations data assets and as databases grow, the ability to support the decisions support process using traditional query languages become in feasible |
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| Data mining is a step in the knowledge discovery process |
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| consisting of particular algorithms (methods) that under some acceptable objective, produces a particular enumeration of patterns(models) over the data |
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| knowledge discovery process |
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| process of using data mining methods (algorithms) to extract (identify) what is deemed knowledge accoring to the specifications of measures and thresholds, using a database along with any necessary preprocessing or transformations |
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| Steps in Knowledge discovery process |
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| Data, Selection, Processing, Transformation |
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| understand your data and your business |
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| decide what data is needed to solve the problem |
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| data may have to be loaded from legacy systems or external sources, stored, cleaned and validated |
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| is the heart of developing a sound model. |
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| feature construction, feature subset selection, aggregating data, and bin data |
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| Applying a mathematical formula to existing data features |
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| Which of the following should you do after inserting a row into a database |
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| checking for SQL Server exceptions |
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| Server controls must be rendered as standard HTML so they can be interpreted by |
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| The browser on the client machine |
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| It is recommended to use uppercase letters for all the tags in the .aspx files |
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| You can enable paging in DataList and gridview controls, but not in DetailsView control |
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| You can format multiple style rules by seperating each name and value pair with a colon |
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| In both list box and dropbownlist controls you can set the selectionMode property to allow multiple selections |
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| Seven types of representation models |
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| 1-D, 2-D, 3-D, Multidimensional, Tree, Network, Temporal |
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| 3-Layer system Architecture |
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| Presentation, Business, Database |
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| Four types of Data mining models and tasks |
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| Classification, Clustering, Regression, Association rule learning |
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| Depth first Search, Breadth-First Search |
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| Heuristic based searching methods |
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| Hill Climbing search, Beam search, A* algorithm |
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