Results 51 to 60 of about 659,904 (212)
Actionable high-coherent-utility fuzzy itemset mining
Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from quantitative transaction databases.
Chen, C. H.;Li, A. F.;Lee, Y. C. +1 more
core +1 more source
Globally Valid Rule‐Based Explanations for Black‐Box Models
ABSTRACT Black‐box explanation methods such as Lime define a neighborhood around the query example, learn an interpretable local surrogate model in this neighborhood, and use this local surrogate model for its explanation. Lore and Anchors are two such methods, which deliver local explanations in the form of IF‐THEN rules.
Van Quoc Phuong Huynh +3 more
wiley +1 more source
Damped weighted erasable itemset mining with time sensitive dynamic environments
Erasable itemset mining discovers itemsets in product databases with benefits no greater than a designated threshold value. By considering weight constraints and the recency of products in erasable itemset mining, the practitioners can manage the plants ...
Hanju Kim +5 more
doaj +1 more source
Social media algorithms drive a hidden risk chain: over‐disclosure → behavioral fusion → targeted attacks. We propose a 128‐dim, law‐aware risk scoring model with Drools‐based dynamic alerts for universities. ABSTRACT As universities undergo accelerated digital transformation, social media algorithms—while streamlining campus services—have emerged as a
Weishu Ye, Zhi Li
wiley +1 more source
Analisis Pola Pembelian Produk Kecantikan Menggunakan Algoritma Apriori
Penerapan Data Mining dapat di gunakan untuk semua bidang, diantaranya bidang bisnis, bidang pendidikan, telekomunikasi dan sebagainya. Dalam bidang bisnis misalnya hasil implementasi data mining dapat membantu para pebisnis dalam membuat kebijakan ...
Ismasari Nawangsih, Pupung Purnamasari
doaj +1 more source
Personalized and Explainable Aspect‐Based Recommendation Using Latent Opinion Groups
ABSTRACT The problem of explainable recommendation—supporting the recommendation of a product or service with an explanation of why the item is a good choice for the user—is attracting substantial research attention recently. Recommendations associated with an explanation of how the aspects of the chosen item may meet the needs and preferences of the ...
Maryam Mirzaei +2 more
wiley +1 more source
Query Rewriting in Itemset Mining [PDF]
In recent years, researchers have begun to study inductive databases, a new generation of databases for leveraging decision support applications. In this context, the user interacts with the DBMS using advanced, constraint-based languages for data mining where constraints have been specifically introduced to increase the relevance of the results and ...
MEO, Rosa +2 more
openaire +3 more sources
Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi +3 more
wiley +1 more source
A New Algorithm for High Average-utility Itemset Mining [PDF]
High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
doaj +1 more source
Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen +8 more
wiley +1 more source

