Answer:
Cultural lag
Explanation:
Cultural lag is a situation where by a society experiences technological development at a rate faster than the development that occurs in culture and general way of life.
A very good example is that it takes a longtime before cultural development can match up with technological developments and advancements thus leading to social problems due to lag. The cultural lag theory was formed in 1922 by William F Ogburn a sociologist.
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Answer: The goals of computer security are to protect computers and users from data theft or loss as well as damage to any part of the computer.
Explanation: Common means of achieving computer security are firewalls, anti-virus software and this can fail due to hardware problems or
weaknesses that prevent malicious attacks.
To answer this question, think of a time when you experienced any one of these. For example, personally, I was once an unfortunate victim of a general malicious attack that took advantage of a weakness in my anti-virus software. After clicking on a link on a dodgy website, a virus was installed on my computer. My computer finally crashed, without any hope of restarting it. I lost all my data and I had to buy a new computer. This was a malicious attack.
However, sometimes people can be specifically targeted to steal their data or monitor their activities.
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.