Results 61 to 70 of about 402,340 (284)
Granular association rules for multi-valued data
, 2013 Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and multi-valued ones should be dealt with in the process of rule mining.
Min, Fan, Zhu, William
core +1 more source
Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries
Advanced Functional Materials, EarlyView.Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu +4 more
wiley +1 more source
Association Rules Mining [PDF]
, 2009 Cílem této bakalářské práce je návrh a implementace aplikace umožňující porovnávat výkonnost a časovou náročnost zvolených algoritmů pro dolování frekventovaných množin a asociačních pravidel.
Dvořák, Michal
core
Advanced Functional Materials, EarlyView.Interphase chemistry governs the stability of multivalent metal batteries. We summarize state‐of‐the‐art developments in calcium and magnesium metal batteries by focusing on the correlation among electrolytes, interphase layers, and the electrochemical performance of corresponding metal anodes.
Huijun Lin +4 more
wiley +1 more source
A PROPOSAL OF FUZZY MULTIDIMENSIONAL ASSOCIATION RULES
Jurnal Informatika, 2006 Association rules that involve two or more dimensions or predicates can be referred as multidimensional association rules. Rather than searching for frequent itemsets (as is done in mining single-dimensional association rules), in multidimensional ...
Rolly Intan
doaj
Efficiently mining association rules based on maximum single constraints
Vietnam Journal of Computer Science, 2017 A serious problem encountered during the mining of association rules is the exponential growth of their cardinality. Unfortunately, the known algorithms for mining association rules typically generate scores of redundant and duplicate rules. Thus, we not
Anh Tran, Tin Truong, Bac Le
doaj +1 more source
Proposed Algorithm for Extracting Association Rule Depend on Closed Frequent Itemset (EACFI) [PDF]
Engineering and Technology Journal, 2011 Association rules are important one of data mining activities. All algorithms of association rule mining consist of finding frequency of itemsets, which satisfy a minimum support threshold, and then compute confidence percentage for each k-itemsets to ...
Emad k. Jbbar, Yaser Munther
doaj +1 more source
Polymer Interface Enables Reversible Quasi‐Solid Sulfur Conversion in Sodium‐Sulfur Batteries
Advanced Functional Materials, EarlyView.The polymer interface enables a stable quasi‐solid sulfur conversion pathway in room‐temperature Na─S batteries. The coating regulates Na+ transport, stabilizes the cathode–electrolyte interphase, and accommodates mechanical stress, suppressing electrolyte decomposition and sulfur migration, thereby improving reaction uniformity, reducing polarization,
Reza Andaveh +12 more
wiley +1 more source
A NOVEL ALGORITHM FOR ASSOCIATION RULE MINING FROM DATA WITH INCOMPLETE AND MISSING VALUES [PDF]
ICTACT Journal on Soft Computing, 2011 Missing values and incomplete data are a natural phenomenon in real datasets. If the association rules mine incomplete disregard of missing values, mistaken rules are derived.
K. Rameshkumar
doaj
Hiding Sensitive Frequent Itemsets over Privacy Preserving Distributed Data [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 Data mining is the process of extracting hidden patterns from data. One of the most important activities in data mining is the association rule mining and the new head for data mining research area is privacy of mining.
Alaa Jumaa, Sufyan Al-Janabi, Nazar Ali
doaj +1 more source