Results 41 to 50 of about 801,363 (206)
Globally Valid Rule‐Based Explanations for Black‐Box Models
Computational Intelligence, Volume 42, Issue 4, August 2026.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
PLoS ONE, 2015 Microarray and beadchip are two most efficient techniques for measuring gene expression and methylation data in bioinformatics. Biclustering deals with the simultaneous clustering of genes and samples.
Ujjwal Maulik +3 more
doaj +1 more source
Vertical Fragmentation for Database Using FPClose Algorithm
Journal of Information Security and Cybercrimes Research, 2019 Vertical fragmentation technique is used to enhance the performance of database system and reduce the number of access to irrelevant instances by splitting a table or relation into different fragments vertically.
Arwa S. Al-Shannaq, Sultan Almotairi
doaj +1 more source
Journal of Personality, Volume 94, Issue 4, Page 584-601, August 2026.ABSTRACT Objectives Counter‐empathy involves responding to others' assumed emotions incongruently. Research on dispositional counter‐empathy predominantly focuses on specific counter‐empathic constructs without clearly mapping its cardinal dimensions.
Jake R. Siamro, Christian H. Jordan
wiley +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.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
Mining Closed Itemsets for Coherent Rules: An Inference Analysis Approach [PDF]
, 2011 Past observations have shown that a frequent item set mining algorithm are alleged to mine the closed ones because the finish offers a compact and a whole progress set and higher potency.
Prof. S.Ramakrishna +1 more
core
Reading Research Quarterly, Volume 61, Issue 2, April/May/June 2026.This study introduces and validates the Self‐Efficacy for Online Reading Questionnaire (SEORQ), a process‐grounded instrument designed to measure secondary students' efficacy in executing the core demands of online reading. The model conceptualizes online reading self‐efficacy as a multidimensional construct encompassing five interrelated processes ...
SeongYeup Kim +2 more
wiley +1 more source
Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.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
Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets
IEEE Access, 2017 Finding knowledge from large data sets to use in intelligent systems becomes more and more important in the Internet era. Pattern mining, classification, text mining, and opinion mining are the topical issues.
Bay Vo +3 more
doaj +1 more source
Annals of Neurology, Volume 99, Issue 1, Page 231-247, January 2026.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