A table called "game1" contains three columns and twenty rows, but "game2" has the same column as game1 (ie 3) and fifteen rows. Both tables have 5 rows in common. What is the degree and cardinality of the resulting table if we take union?

it says relation guest doesnt exist am i making a guess table

The following two relations R and S have one attribute storing integers. Assume that a join is performed on this attribute. R = { 4, 3, 1, 6, 2, 9, 0, 5, 8, 7 } S = { 3, 4, 5, 8, 0, 2, 1, 6, 7, 9} Show the order of tuples output for the following join algorithms: (for example Sort Join would give (0,0), (1,1),...,(9,9) ) 1.One pass join where M=12 and R is put in memory: 2.Merge-sort-join with M=5: 3.Hash Join with three buckets and M=4. Assume R is the build relation and S is the probe relation. Also assume bucket 0 is output first. Output:

Using a SQL query on the CSV that have their own contained table Find all reservations in room HBB that overlap by at least one day with any stay by customer with last name KNERIEN. Last last and first name along with checkin and checkout dates. Sort by checkin date in chronological order. ---------------------------------------------------------------------------------------------- Rooms.csv RoomId : a three-letter unique Id code of a roomroomName : official name of the roombeds : number of beds in the roombedType : type of the bed(s) in the room. All beds in each roomare of the same type.maxOccupancy : maximum number of people allowed to stay in the roombasePrice : base price (in US dollars) of one night of stay in the room.decor : decoration style of the room -------------------------------------------------------------------------------------------- Reservations.csv Code : reservation codeRoom : the three-letter room code (see Rooms.RoomId)CheckIn : date of check-in/arrivalCheckOut...

Please solve the attached recurrence relation.

How many rows does the resultant of the relational algebra expression acqcost>1500 (Tdesc,acqcost (A)) have, given the table A below? id 82943 Conference Table 77463 Conference Chair 99821 Desk 44320 Desk 99873 Conference Chair 77472 Conference Chair 88872 Speaker Phone 33411 Monitor 55" 98006 Printer 88753 Copier 72633 Chair 99098 Conference Chair desc acqcost 4998.00 247.45 1987.00 2019年09月15日 1987.00 2017年11月05日 247.45 2019年09月15日 2019年09月15日 247.45 247.00 2020年06月23日 874.00 2018年03月08日 1389.00 2019年12月18日 4877.90 2017年12月01日 642.00 2017年11月05日 239.90 2020年02月10日 dateacq 2019年09月15日 2019年09月15日

In the following graphs, do you think graph a and b have the same meaning? If not, what are their differences

In this hypothetical situation, you have access to a database providing the x, y coordinates and names of all neighbouring eateries. Only the following types of inquiries need to be made: The inquiry investigates into whether or not the specified address is acceptable for a restaurant. Which indexing method, B-tree or R-tree, is superior, and why? Why?

Explain why it is sometimes more efficient to compute the distance from a single source to all other nodes, even though a particular query may be answered with a partial solution.

You could save the names of restaurants together with their x, y locations in a database. Just think about the following questions: The primary concern of the inquiry is to determine whether a dining establishment exists. Optimal approach to indexing: Which is better, a B-tree or an R-tree? Why?

We use the Breast Cancer Wisconsin dataset from UCI machine learning repository: http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29 Data File: breast-cancer-wisconsin.data (class: 2 for benign, 4 for malignant) Data Metafile: breast-cancer-wisconsin.names Please implement this algorithm for logistic regression (i.e., to minimize the cross-entropy loss as discussed in class), and run it over the Breast Cancer Wisconsin dataset. Please randomly sample 80% of the training instances to train a classifier and then testing it on the remaining 20%. Ten such random data splits should be performed and the average over these 10 trials is used to estimate the generalization performance. You are expected to do the implementation all by yourself so you will gain a better understanding of the method. Please submit: (1) your source code (or Jupyter notebook file) that TA should be able to (compile and) run, and the...

Write an SQL query to fetch the different projects available from the EmployeeSalary table.

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