Turnitin
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早检测系统
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Visual tuning
Fine-tuning visual models has been widely shown promising performance on many
downstream visual tasks. With the surprising development of pre-trained visual foundation …
downstream visual tasks. With the surprising development of pre-trained visual foundation …
[کتاب][B] Data cleaning
This is an overview of the end-to-end data cleaning process. Data quality is one of the most
important problems in data management, since dirty data often leads to inaccurate data …
important problems in data management, since dirty data often leads to inaccurate data …
Automating large-scale data quality verification
Modern companies and institutions rely on data to guide every single business process and
decision. Missing or incorrect information seriously compromises any decision process …
decision. Missing or incorrect information seriously compromises any decision process …
Data profiling: A tutorial
is to understand the dataset at hand and its metadata. The process of metadata discovery is
known as data profiling. Profiling activities range from ad-hoc approaches, such as eye …
known as data profiling. Profiling activities range from ad-hoc approaches, such as eye …
Raha: A configuration-free error detection system
Detecting erroneous values is a key step in data cleaning. Error detection algorithms usually
require a user to provide input configurations in the form of rules or statistical parameters …
require a user to provide input configurations in the form of rules or statistical parameters …
Baran: Effective error correction via a unified context representation and transfer learning
Traditional error correction solutions leverage handmaid rules or master data to find the
correct values. Both are often amiss in real-world scenarios. Therefore, it is desirable to …
correct values. Both are often amiss in real-world scenarios. Therefore, it is desirable to …
Data dependencies for query optimization: a survey
Effective query optimization is a core feature of any database management system. While
most query optimization techniques make use of simple metadata, such as cardinalities and …
most query optimization techniques make use of simple metadata, such as cardinalities and …
Efficient discovery of approximate dependencies
Functional dependencies (FDs) and unique column combinations (UCCs) form a valuable
ingredient for many data management tasks, such as data cleaning, schema recovery, and …
ingredient for many data management tasks, such as data cleaning, schema recovery, and …
Discovery of approximate (and exact) denial constraints
Maintaining data consistency is known to be hard. Recent approaches have relied on
integrity constraints to deal with the problem-correct and complete constraints naturally work …
integrity constraints to deal with the problem-correct and complete constraints naturally work …
Detecting logic bugs of join optimizations in dbms
Generation-based testing techniques have shown their effectiveness in detecting logic bugs
of DBMS, which are often caused by improper implementation of query optimizers …
of DBMS, which are often caused by improper implementation of query optimizers …