Answer and Explanation:
The sequential data or sequence data is described as data that come in an ordered sequence. It may also be termed data that is produced from tasks that occurs in sequential order The sequential pattern mining is a critical subject in data mining that has do with applying sequential data to derive a statistically relevant pattern from it.
Sequential pattern mining is a part of data mining. Data mining involves utilizing data from databases to understand and make decisions that better the organization or society as a whole based on this. Common data mining tasks include: clustering, classification, outlier analysis, and pattern mining.
Pattern mining is a kind of data mining task that involves explaining data through finding useful patterns from data in databases. Sequential pattern mining is pattern mining that uses sequential data as a source of data in finding data patterns. Sequential pattern mining applies various criteria(which maybe subjective) in finding "subsequence" in data. Criteria could be :frequency, length, size, time gaps, profit etc. Sequential pattern mining is commonly applicable in reality since a sizeable amount of data mostly occur in this form. A popular type of sequential data is the time series data.
<span>The benefits of renting a home are many. Renting can be less expensive, for example, your rent might even cover utilities. If a person moves frequently or may not be planning on staying in the area, renting is beneficial because they can just leave when the lease is up instead of having to sell a home. Frequently, the owner of the property is responsible for many repairs - such as plumbing and electric work. There is also less care involved when renting apartments or condos because the management will take care of things like the landscaping and repairing driveways.</span>
Answer:
Cellphones have evolved rapidly since handheld mobile phones first appeared in the 1970s. ... Generally, phones have evolved to be more compact, to have longer battery life and to allow addition of features beyond making calls, like running apps and sending text messages.
Explanation:
myChairs[199].WoodType is the following accesses the last Furniture object's wood type
d. myChairs[199].WoodType
<u>Explanation:</u>
An array often has the size range of [0- n-1] where n is number of cell for array. For example, when the array has a size of 5, its index starts from 0 and ends at n-1 ie 4.
So according to the question, the array myChairs is an array of objects declared from the class Furniture. Its index starts from 0 and the last object is at 199. So to access the last object’s WoodType, the following accesses it:
myChairs[199].WoodType.
Explanation:
a . Regular language -
Uses are as follows -
- matching the regular expression patterns , like the Unix grep .
- patterns search and replace operations .
- programming languages for the Lexical analysis in the compilation phase .
b. Context Free Language -
Uses are as follows -
- match the count of one symbol with another symbol .
- Match a symbol with another symbol .
- submit one symbol with string made of other symbols recursively .
c. NP-Completeness -
Uses are as follows -
- used for Weighted Model Counting
- Used for Integer Programming
- used for Boolean Satisfiability testing
d. Decidability -
Uses are as follows -
- Team games with incomplete information are undecidable.
- Infinite chess (with limitations on rules and game pieces) is decidable.
