Answer:
d. an end point of the microflow mendix
Explanation:
In Computer programming, Microflows can be defined as a visual representation of textual program codes based on the Business Process Model and Notation (BPMN), it enables users to express the logic of application.
It is capable of performing various actions such as creating and updating objects, showing pages and making choices.
Microflows cannot be used in offline apps as it basically runs in the runtime server.
A red bullet in a microflow indicates an end point of the microflow mendix.
Answer:
The code is mentioned below.
Explanation:
This code is written in C.
Assuming that an array of 6 by 8 is already initialized and stored in a vector
which will be called or referred in program by:
Alongwith the array the variables i j and max will be initialized as integers.
CODE:
int i,j,max;
max=0;
for(i=0;i<6;i++)
{
for(j=0;j<6;j++)
{
if(max>x[i][j])
max = x[i][j];
}
}
This code will check each and every entry of 6 by 8 array and place the largest value in max.
The amount of money added to the product by the seller, difference between the cost price and selling price
Answer:
If left being the shortest file size and right being the biggest file size...
It is JPEG, PNG, TIFF.
Explanation:
TIFF is used primarily for editing photos or for uncompressed high quality images for things like 4K textures. The file size will be bigger since generally it is uncompressed.
PNG reserves the maximum quality of the image and can not be compressed. (It can be compressed but the results are very minimal).
JPEG allows for the user to decide the compression and quality of the image. JPEG also doesn't hold transparency data, thus making JPEG generally use less space than PNG and definitely more than TIFF.
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.