Data Mining Add-ins - Excel. The Microsoft SQL Server Data Mining Add-ins for Microsoft Office 2007 and 2010 can help you derive patterns and trends that exist in complex data, visualize those patterns in charts and interactive viewers, and generate rich, colorful summaries for presentation and for business analytics.
These add-ins utilize the predictive analytics of SQL Server in Microsoft Excel and Microsoft Office Visio. Note: At this time, the add-ins are only available for the 32-bit version of Microsoft Office. Access 2010 SQL Query find partial match in string of full word only. MS Access: InStr Function. This MSAccess tutorial explains how to use the Access InStr function with syntax and examples.
Description The Microsoft Access InStr function returns the position of the first occurrence of a string in another string. Syntax The syntax for the InStr function in MS Access is: InStr ( [start], string_being_searched, string2, [compare] ) Parameters or Arguments start Optional. String_being_searched The string that will be searched. string2 The string to search for. compare Optional.
Note The first position in string_being_searched is 1. Applies To. Mining Model Tasks and How-tos. Microsoft Access Products, Add-ins, Tools, Utilities, and Source Code Libraries for developers, programmers, users, and administrators. Data Mining Wizard (Analysis Services - Data Mining) The Data Mining Wizard in Microsoft SQL Server Analysis Services starts every time that you add a new mining structure to a data mining project.
The wizard helps you choose a data source and set up a data source view that defines the data to be used for analysis, and then helps you create an initial model. In the final phase of the wizard, you can optionally divide your data into training and testing sets, and enable features such as drillthrough. What to Know Before You Start Here are the things you need to know before you start the wizard. Data Mining with MS Access. Use Access 2007 to Get Started in Data Mining. Summary This article shows you how you can use Microsoft Access 2007 as a basic data mining tool for exploring your valuable data.
In the article, we will illustrate how data filters, pivot graphs, queries in graphs and filters in reports can help this cause. What Is Data Mining Professionals will tell you data mining is the use of automated techniques to establish useful trends/information in the database(s) that organizations have spent fortunes acquiring. Once derived, this information is then used to improve business practices or make better business decisions. Having a professional approach to data mining is great, but what about the rest of the population (the other 99%) who neither understand data mining nor have the time and money to get professional data mining tools working on their databases.
Why not use the popular Microsoft Access tool to explore our databases rather than a new tool. Figure 1 - A sample of the range of graph styles available in Pivot Charts Microsoft Graphs. Advance Search by Keyword for MS Access. Query with Full-Text Search. This topic describes when and how to use the full-text predicates CONTAINS and FREETEXT and the rowset-valued functions CONTAINSTABLE and FREETEXTTABLE to write full-text queries.
Pick the best full-text predicate or function CONTAINS/CONTAINSTABLE and FREETEXT/FREETEXTTABLE, are useful for different kind of matches. Use CONTAINS (or CONTAINSTABLE) for precise or fuzzy (less precise) matches to single words and phrases, or to specify the proximity of words within a certain distance of one another, or to return weighted matches. You have to specify at least one search condition that specifies the text that you are searching for and the conditions that determine matches.
You can also use logical operation to combine search conditions. Query with the full-text predicates CONTAINS and FREETEXT Use CONTAINS and FREETEXT in the WHERE or HAVING clause of a SELECT statement. For information about the syntax and arguments of these predicates, see CONTAINS and FREETEXT. KEY column. Example See Also. Full-Text Search. Full-Text Search in SQL Server and Azure SQL Database lets users and applications run full-text queries against character-based data in SQL Server tables.
Basic tasks This topic provides an overview of Full-Text Search and describes its components and its architecture. If you prefer to get started right away, here are the basic tasks. Note. Semantic Search (SQL Server) Statistical Semantic Search provides deep insight into unstructured documents stored in SQL Server databases by extracting and indexing statistically relevant key phrases.
Then it uses these key phrases to identify and index documents that are similar or related. What can you do with Semantic Search? Semantic search builds upon the existing full-text search feature in SQL Server, but enables new scenarios that extend beyond keyword searches. While full-text search lets you query the words in a document, semantic search lets you query the meaning of the document. Solutions that are now possible include automatic tag extraction, related content discovery, and hierarchical navigation across similar content. The following examples demonstrate the capabilities of Semantic Search.