Answer: The Atanasoff–Berry computer was the first automatic electronic digital computer. Limited by the technology of the day, and execution, the device has remained somewhat obscure. The ABC's priority is debated among historians of computer technology, because it was neither programmable, nor Turing-complete.
Explanation:
Answer:
<em> where the attacker secretly relays and possibly alters the communications between two parties who believe that they are directly communicating with each other.</em>
Explanation:
For me the some steps I use not 10 steps sorry are I always go through the slide and think what I am talking about. You have to understand what you are talking about and be clear and persuasive. Never look at the presentation. Memorize key phrases and keep your eyes at your audience. make each of your slides colorful so viewers will look at your actually slide.
Answer:
Pass-through disk
Explanation:
Pass-through disk configuration will allow the administrator to connect an offline physical disk that is connected to the host machine to a VM to maximize a VM's performance.
VMs access a physical hard disk by way of a "pass-through disk," a special virtual disk that directly accesses the physical disk if it is made exclusively available to the VM.
A pass-through disk must be offline in the parent partition of the Hyper-V server.
Answer:
1. Data Cleaning
2. Data Integration
3. Data Selection
4. Data transformation
5. Data Mining
6. Pattern Evaluation
7. Knowledge presentation
Explanation:
The steps involved in data mining or data analytics when viewed as a process of knowledge discovery includes the following:
Step 1. Data cleaning: this involves the elimination of inconsistent data.
Step 2. Data integration: this involves the combination of data from multiple sources.
Step 3. Data selection: this is the step where significant data for task examination are gathered from the database.
Step 4. Data transformation: this the step in which the data are modified for mining by conducting the aggregate operation.
Step 5. Data mining: this step involves the extraction of data patterns through specific techniques.
Step 6. Pattern evaluation: this step involves the identification of patterns that depict knowledge based on measures.
Step 7. Knowledge presentation: this is the step in which visualization and knowledge representation methods are utilized to illustrate mined knowledge to users.
