EBK DATABASE CONCEPTS
7th Edition
ISBN: 9780133777840
Author: AUER
Publisher: VST
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Chapter 8, Problem 8.15RQ
Explanation of Solution
Fact Table:
Fact table is the focal table of the dimension table that can store measure of the business activities.
- The qualities of the data present are called as measures.
- It holds the qualitative or factual data of the entity that are being represented in the fact table.
- Fact tables are normalized and are present at the center of the star schema.
- They do contain foreign key in joining the dimension tables...
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here is a diagram code :
graph LR subgraph Inputs [Inputs] A[Input C (Complete Data)] --> TeacherModel B[Input M (Missing Data)] --> StudentA A --> StudentB end subgraph TeacherModel [Teacher Model (Pretrained)] C[Transformer Encoder T] --> D{Teacher Prediction y_t} C --> E[Internal Features f_t] end subgraph StudentA [Student Model A (Trainable - Handles Missing Input)] F[Transformer Encoder S_A] --> G{Student A Prediction y_s^A} B --> F end subgraph StudentB [Student Model B (Trainable - Handles Missing Labels)] H[Transformer Encoder S_B] --> I{Student B Prediction y_s^B} A --> H end subgraph GroundTruth [Ground Truth RUL (Partial Labels)] J[RUL Labels] end subgraph KnowledgeDistillationA [Knowledge Distillation Block for Student A] K[Prediction Distillation Loss (y_s^A vs y_t)] L[Feature Alignment Loss (f_s^A vs f_t)] D -- Prediction Guidance --> K E -- Feature Guidance --> L G --> K F --> L J -- Supervised Guidance (if available) --> G K…
details explanation and background
We solve this using a Teacher–Student knowledge distillation framework:
We train a Teacher model on a clean and complete dataset where both inputs and labels are available.
We then use that Teacher to teach two separate Student models:
Student A learns from incomplete input (some sensor values missing).
Student B learns from incomplete labels (RUL labels missing for some samples).
We use knowledge distillation to guide both students, even when labels are missing.
Why We Use Two Students
Student A handles Missing Input Features: It receives input with some features masked out. Since it cannot see the full input, we help it by transferring internal features (feature distillation) and predictions from the teacher.
Student B handles Missing RUL Labels: It receives full input but does not always have a ground-truth RUL label. We guide it using the predictions of the teacher model (prediction distillation).
Using two students allows each to specialize in…
We are doing a custom JSTL custom tag to make display page to access a tag handler.
Write two custom tags:
1) A single tag which prints a number (from 0-99) as words. Ex:
<abc:numAsWords val="32"/> --> produces: thirty-two 2) A paired tag which puts the body in a DIV with our team colors. Ex:
<abc:teamColors school="gophers" reverse="true"> <p>Big game today</p> <p>Bring your lucky hat</p> <-- these will be green text on blue background </abc:teamColors>
Details: The attribute for numAsWords will be just val, from 0 to 99 - spelling, etc... isn't important here. Print "twenty-six" or "Twenty six" ... . Attributes for teamColors are: school, a "required" string, and reversed, a non-required boolean. - pick any four schools. I picked gophers, cyclones, hawkeyes and cornhuskers - each school has two colors. Pick whatever seems best. For oine I picked "cyclones" and red text on a gold body - if…
Chapter 8 Solutions
EBK DATABASE CONCEPTS
Ch. 8 - Prob. 8.1RQCh. 8 - Prob. 8.2RQCh. 8 - Prob. 8.3RQCh. 8 - Prob. 8.4RQCh. 8 - Prob. 8.5RQCh. 8 - Prob. 8.6RQCh. 8 - What problems in operational data create the need...Ch. 8 - Prob. 8.8RQCh. 8 - Prob. 8.9RQCh. 8 - Prob. 8.10RQ
Ch. 8 - Explain the difference between a data warehouse...Ch. 8 - Prob. 8.12RQCh. 8 - Prob. 8.13RQCh. 8 - Prob. 8.14RQCh. 8 - Prob. 8.15RQCh. 8 - Prob. 8.16RQCh. 8 - Prob. 8.17RQCh. 8 - Prob. 8.18RQCh. 8 - Prob. 8.19RQCh. 8 - Prob. 8.20RQCh. 8 - Prob. 8.21RQCh. 8 - Prob. 8.22RQCh. 8 - Prob. 8.23RQCh. 8 - Prob. 8.24RQCh. 8 - Prob. 8.25RQCh. 8 - Prob. 8.26RQCh. 8 - Prob. 8.27RQCh. 8 - Explain one way to partition a database that has...Ch. 8 - Prob. 8.29RQCh. 8 - Explain what must be done when fully replicating a...Ch. 8 - Prob. 8.31RQCh. 8 - Prob. 8.32RQCh. 8 - Prob. 8.33RQCh. 8 - Prob. 8.34RQCh. 8 - Explain the meaning of the term object...Ch. 8 - Prob. 8.36RQCh. 8 - Prob. 8.37RQCh. 8 - Prob. 8.38RQCh. 8 - Prob. 8.39RQCh. 8 - Prob. 8.40RQCh. 8 - Prob. 8.41RQCh. 8 - Prob. 8.42RQCh. 8 - Prob. 8.43RQCh. 8 - Prob. 8.44RQCh. 8 - Prob. 8.45RQCh. 8 - Prob. 8.46RQCh. 8 - Prob. 8.47RQ
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