There are also privacy and human rights concerns associated with data mining, specifically regarding the source of the data analyzed. Data mining provides information that may be difficult to obtain otherwise. When the data collected involves individual people, there are many questions concerning privacy, legality, and ethics. In particular, data mining government or commercial data sets for national security or law enforcement purposes, such as in the Total Information Awareness Program, has raised privacy concerns.
The following facts have increased the urgency and difficulty regarding data mining and protecting the privacy of the individuals about whom the data was collected: the decreased cost of data mining tools and the prevalence of those tools, an increase in the amount of data being collected and stored, an increase in the use of data aggregation, and the use of data warehouses as the stores for the data from several sources.
“Data mining by itself is ethically neutral”. There are several ethical issues which are raised by the topic of data mining: “the suitability and validity of the methods used in any given data mining application, the degree to which confidentiality and privacy obligations are respected, and the overall aims of a given data mining application”.
One must take into consideration the reliability of the source of the data which is being mined, the reason that the data was collected originally, and any aggregation that has taken place A danger which is inherent to data mining projects is the possibility of erroneous information resulting from data aggregation. Data aggregation is when the data which has been mined, possibly from various sources, has been put together so that it can be analyzed.
Thursday, December 11, 2008
Monday, December 8, 2008
Algorithms
There are various data mining algorithms which can be used to build the mining model. But choosing the right algorithm for the right business task is critical. Different algorithms can be used to do the same business tasks but each algorithm produces different results.
The various types of algorithms are as follows:
1. Classification algorithm predicts one or more discrete variables, based on the other attributes in the dataset. eg: Microsoft Decision Trees Algorithm.
2. Regression algorithm predicts one or more continuous variables, such as profit or loss, based on other attributes in the dataset. eg: Microsoft Time Series Algorithm.
3. Segmentation algorithm divides data into groups, or clusters, of items that have similar properties. eg: Microsoft Clustering Algorithm.
4. Association algorithm finds correlations between different attributes in a dataset. The most common application of this kind of algorithm is for creating association rules, which can be used in a market basket analysis. eg: Microsoft Association Algorithm.
5. Sequence analysis algorithm summarizes frequent sequences or episodes in data, such as a Web path flow. eg: Microsoft Sequence Clustering Algorithm.
A data mining application can adopt different algorithms for different functions, for example we can use segmentation algorithms for exploring data and regression algorithms for prediction functionalities.
roman shades, vertical blinds, window blinds
The various types of algorithms are as follows:
1. Classification algorithm predicts one or more discrete variables, based on the other attributes in the dataset. eg: Microsoft Decision Trees Algorithm.
2. Regression algorithm predicts one or more continuous variables, such as profit or loss, based on other attributes in the dataset. eg: Microsoft Time Series Algorithm.
3. Segmentation algorithm divides data into groups, or clusters, of items that have similar properties. eg: Microsoft Clustering Algorithm.
4. Association algorithm finds correlations between different attributes in a dataset. The most common application of this kind of algorithm is for creating association rules, which can be used in a market basket analysis. eg: Microsoft Association Algorithm.
5. Sequence analysis algorithm summarizes frequent sequences or episodes in data, such as a Web path flow. eg: Microsoft Sequence Clustering Algorithm.
A data mining application can adopt different algorithms for different functions, for example we can use segmentation algorithms for exploring data and regression algorithms for prediction functionalities.
roman shades, vertical blinds, window blinds
Tuesday, December 2, 2008
Search for Window Treatments-1
Yesterday I and my family visited one mall. It is very big and well known shopping mall in our area. I was there to buy something unique and different for my house. I saw so many antique things which are useful to decorate the house like wall picture, flower vas etc…. Actually I was interested in window treatments items. Fortunately I found one store and they have many types of blinds on their display. For the first time I have seen these much collections of blinds at one place. The way they have displayed their product range was so attractive.
They are having window blind & shade products. That includes wood blinds, faux wood blinds, mini blinds, and vertical blinds. Their window shades includes roman shades, cellular shades, pleated shades, roller shades, and woven wood bamboo shades. I was interested in vertical blinds for my drawing room. Salesman their explain me vertical blinds are very popular and appealing for sliding glass doors and larger windows. He told me to select between cord and chain operation and wand controlled blinds. My kids are already grown so, I don’t have any threat to my kids safety. We decided to go with chain instead of cord.
Than he told us to select from a variety of wood, fabric patterns, and basic vinyl on our verticals so that our blinds are coordinated with the rest of our decorations. He told us that for more unique look, sliding panel shades offer both shade and safety with their baton draw design. These large panels will add ambiance to any formal room in your home! So, at last I decided to go with vertical blinds for my drawing room.
They are having window blind & shade products. That includes wood blinds, faux wood blinds, mini blinds, and vertical blinds. Their window shades includes roman shades, cellular shades, pleated shades, roller shades, and woven wood bamboo shades. I was interested in vertical blinds for my drawing room. Salesman their explain me vertical blinds are very popular and appealing for sliding glass doors and larger windows. He told me to select between cord and chain operation and wand controlled blinds. My kids are already grown so, I don’t have any threat to my kids safety. We decided to go with chain instead of cord.
Than he told us to select from a variety of wood, fabric patterns, and basic vinyl on our verticals so that our blinds are coordinated with the rest of our decorations. He told us that for more unique look, sliding panel shades offer both shade and safety with their baton draw design. These large panels will add ambiance to any formal room in your home! So, at last I decided to go with vertical blinds for my drawing room.
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