Answer:
Depending on the amount of files there are, the operating system will run slower because these files take up space on the hard drive, slowing it down.
Explanation:
Answer:
To see who reads the file, open “Windows Event Viewer”, and navigate to “Windows Logs” → “Security”. There is a “Filter Current Log” option in the right pane to find the relevant events. If anyone opens the file, event ID 4656 and 4663 will be logged.
Answer:
Hippocampus.
Explanation:
There are two parts of the limbic system. They are the frontal part which is the amygdala and the posterior part which is the hippocampus.
The hippocampus is an extension of the temporal part of the cerebral cortex which is a plastic-like structure that can be easily damaged by stimuli. It is packed with densed neurons and forms an S-shape at the extension of the temporal part.
It is responsible for learning and memory and damage to it can result to memory loss of recently learnt information.
Jack must use electronic communication or e-mail to distribute information and an attachment as quickly as possible to all their clients. In 1–2 sentences, describe what Jack should do. In this way, he can also retain a hard copy of the memo as well as the attachments used for future reference.
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.
