In our latest case study, a client’s providers were billing ancillary items individually that should have been billed together, thus causing overpayments to the providers. Learn more about how CERIS’ data mining solution helped identify and recover $1.3 million. https://lnkd.in/g-kNM48w
CERIS’ Post
More Relevant Posts
-
Data Mining #snsinstitutions #snsdesignthinking #snsdesignthinkers Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions. Data mining is the process of analyzing a large batch of information to discern trends and patterns. Data mining can be used by corporations for everything from learning about what customers are interested in or want to buy to fraud detection and spam filtering. Types of Data Mining Clustering involves finding groups with similar characteristics. ... Classification sorts items (or individuals) into categories based on a previously learned model. ... Association identifies pieces of data that are commonly found near each other.
To view or add a comment, sign in
-
In our recent case study, a client’s providers were billing professional services separately from the global surgical procedure that was performed, creating over payments to the providers. Learn more about how CERIS’ data mining solution helped identify and recover $800,000. https://bit.ly/4e5UIxl
Data Mining Detects & Prevents Improper Payments | CERIS
ceris.com
To view or add a comment, sign in
-
data mining #snsinstitutions #snsdesignthinkers #snsdesignthinking Data mining is the process of analyzing a large batch of information to discern trends and patterns. Data mining can be used by corporations for everything from learning about what customers are interested in or want to buy to fraud detection and spam filtering. Data mining programs break down patterns and connections in data based on what information users request or provide. Social media companies use data mining techniques to commodify their users in order to generate profit. This use of data mining has come under criticism lately as users are often unaware of the data mining happening with their personal information, especially when it is used to influence preferences.
To view or add a comment, sign in
-
Data Mining: KEY TAKEAWAYS:- # Data mining is the process of analyzing a large batch of information to discern trends and patterns. # Data mining can be used by corporations for everything from learning about what customers are interested in or want to buy to fraud detection and spam filtering. # Data mining programs break down patterns and connections in data based on what information users request or provide. Social media companies use data mining techniques to commodify their users in order to generate profit. # This use of data mining has come under criticism lately as users are often unaware of the data mining happening with their personal information, especially when it is used to influence preferences.
To view or add a comment, sign in
-
Data Analyst| Business Intelligence Analyst| Sales Analyst| Tech Enthusiast|| Excel| PowedBI| Microsoft Sql| Python| Google Certified| IBM Certified.
The Data Analysis process involves: Developing an understanding of the problem and the desired outcome. Setting a clear metric for evaluating outcomes. Gathering, cleaning, analyzing, and mining data to interpret results. Computing the findings in ways that impact decision-making.
To view or add a comment, sign in
-
#Inference attack In an Inference attack, the attacker uses several pieces of generic non-sensitive information to determine specific sensitive value. An Inference Attack is a data mining technique performed by analyzing data in order to illegitimately gain knowledge about a subject or database.
To view or add a comment, sign in
-
Our latest white paper provides an overview of headwinds and tailwinds related to data mining as it continues to evolve, emphasizing the need for continuous innovation and adaptability. It also includes some of our own recent data mining findings. Check it out here! https://lnkd.in/gUKDkTTV
Data Mining Tailwinds and Headwinds | CERIS
ceris.com
To view or add a comment, sign in
-
Full Stack Software Consultant ✔Web Apps ✔Java ✔WebGIS ✔Flutter (Mobile, Web) ✔Aeronautical Information Systems
https://lnkd.in/gt3meQCK Introduces the unique problems arising from social media data and effective algorithms for network analysis and data mining. Look for "Read and Download Links" section to download the book. #SocialMediaMining #SocialMedia #DataMining
Social Media Mining: An Introduction
freecomputerbooks.com
To view or add a comment, sign in
-
Algorithm Selection in Data mining project When it comes to data mining, there are many algorithms to choose from, each with its strengths, weaknesses and problem under taken . When choosing which algorithm to use, consider the following factors: Problem type Classification, regression, clustering, or association rule mining? Data characteristics Categorical, numerical, or mixed data types? Presence of missing values or outliers Data size Small, medium, or large dataset? Interpretability Do you need to understand the relationships between features? Computational resources Is computational power limited? Remember, no single algorithm is perfect, and combining multiple algorithms (e. g, using ensembles) can often lead to better results than relying on a single approach.
To view or add a comment, sign in
-
Hey Cohorts!! I am glad to inform you all that ,I got certified by NPTEL Examination in the course of Data Mining and got 52% in the Exam. In this course I learned about ➡ 1) What is Data Mining? 2)How Data Mining tools works? 3)Need of Data Mining 4)Data Mining Core Concepts etc...
To view or add a comment, sign in
1,862 followers